Yonina Eldar | Academic Influence

Yonina Eldar's AcademicInfluence.com Rankings

Yonina Eldar

Engineering

#964

World Rank

#1501

Historical Rank

Applied Physics

#97

World Rank

#101

Historical Rank

Electrical Engineering

#115

World Rank

#131

Historical Rank

engineering Degrees

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Engineering

Yonina Eldar's Degrees

PhD Electrical Engineering Stanford University

Why Is Yonina Eldar Influential?

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According to Wikipedia, Yonina C. Eldar is an Israeli professor of electrical engineering at the Weizmann Institute of Science, known for her pioneering work on sub-Nyquist sampling. Early life and education Eldar was born in Toronto, Canada. She is the third daughter of Rabbi Meyer and Vicky Berglas. She moved with her family to Israel in 1979. She received her B.Sc. degrees in physics and electrical engineering both from Tel Aviv University , Israel, in 1995 and 1996, respectively.

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Yonina Eldar's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery (2009) (1229)
From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals (2009) (1094)
Structured Compressed Sensing: From Theory to Applications (2011) (999)
Robust Recovery of Signals From a Structured Union of Subspaces (2008) (985)
Phase Retrieval via Matrix Completion (2011) (979)
Linear precoding via conic optimization for fixed MIMO receivers (2006) (911)
Compressed Sensing with Coherent and Redundant Dictionaries (2010) (906)
Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals (2007) (806)
Phase Retrieval with Application to Optical Imaging: A contemporary overview (2015) (785)
Zero-Forcing Precoding and Generalized Inverses (2008) (528)
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing (2019) (477)
A probabilistic Hough transform (1991) (418)
Xampling: Analog to digital at sub-Nyquist rates (2009) (405)
Shrinkage Algorithms for MMSE Covariance Estimation (2009) (389)
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors (2008) (370)
GESPAR: Efficient Phase Retrieval of Sparse Signals (2013) (330)
Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation (2009) (324)
Rank Awareness in Joint Sparse Recovery (2010) (320)
Sampling Theory: Beyond Bandlimited Systems (2015) (319)
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow (2016) (310)
Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms (2012) (309)
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021) (297)
Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging (2010) (278)
Xampling: Signal Acquisition and Processing in Union of Subspaces (2009) (273)
Strong Duality in Nonconvex Quadratic Optimization with Two Quadratic Constraints (2006) (272)
Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices (2012) (270)
Direction of Arrival Estimation Using Co-Prime Arrays: A Super Resolution Viewpoint (2013) (263)
Introduction to compressed sensing (2012) (249)
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise (2009) (244)
Robust mean-squared error estimation in the presence of model uncertainties (2005) (243)
Generalized SURE for Exponential Families: Applications to Regularization (2008) (242)
Spatial Compressive Sensing for MIMO Radar (2013) (237)
Blind Compressed Sensing (2010) (225)
Radar and Communication Coexistence: An Overview: A Review of Recent Methods (2019) (220)
Filterbank reconstruction of bandlimited signals from nonuniform and generalized samples (2000) (216)
Phase Retrieval: Stability and Recovery Guarantees (2012) (211)
On the Gaussian MIMO Wiretap Channel (2007) (211)
Quantum signal processing (2002) (205)
Sampling with Arbitrary Sampling and Reconstruction Spaces and Oblique Dual Frame Vectors (2003) (203)
Compressed Beamforming in Ultrasound Imaging (2012) (200)
Time-Delay Estimation From Low-Rate Samples: A Union of Subspaces Approach (2009) (190)
Oblique dual frames and shift-invariant spaces (2004) (187)
Convex Optimization in Signal Processing and Communications: Convex Optimization in Signal Processing and Communications (2009) (185)
On quantum detection and the square-root measurement (2000) (185)
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework (2010) (184)
Phase Retrieval: An Overview of Recent Developments (2015) (181)
Noise Folding in Compressed Sensing (2011) (181)
Super-resolution and reconstruction of sparse sub-wavelength images. (2009) (176)
Compressed Sensing of Analog Signals in Shift-Invariant Spaces (2008) (176)
A competitive minimax approach to robust estimation of random parameters (2004) (174)
Sub-Nyquist Sampling (2011) (171)
Sparsity based sub-wavelength imaging with partially incoherent light via quadratic compressed sensing (2011) (170)
Deep Learning in Ultrasound Imaging (2019) (160)
Multichannel Sampling of Pulse Streams at the Rate of Innovation (2010) (159)
Sub-Nyquist Radar via Doppler Focusing (2012) (155)
Super-resolution Ultrasound Imaging. (2020) (155)
Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels (2005) (154)
Optimal tight frames and quantum measurement (2001) (151)
Sensing Matrix Optimization for Block-Sparse Decoding (2010) (150)
Fourier-domain beamforming: the path to compressed ultrasound imaging (2013) (142)
The Cramér-Rao Bound for Estimating a Sparse Parameter Vector (2010) (141)
Beyond bandlimited sampling (2009) (139)
eQED: an efficient method for interpreting eQTL associations using protein networks (2008) (138)
Deep Unfolded Robust PCA with Application to Clutter Suppression in Ultrasound (2018) (136)
Sparsity-based single-shot sub-wavelength coherent diffractive imaging (2011) (135)
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery (2010) (133)
Designing optimal quantum detectors via semidefinite programming (2002) (133)
PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations (2012) (130)
The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods (2010) (129)
Phase Retrieval with Application to Optical Imaging (2014) (126)
Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss Lemma (2010) (123)
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications (2020) (121)
Sparsity-based single-shot subwavelength coherent diffractive imaging (2012) (119)
Identification of Parametric Underspread Linear Systems and Super-Resolution Radar (2010) (119)
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies (2020) (115)
Communication-efficient federated learning (2021) (114)
Dictionary Optimization for Block-Sparse Representations (2010) (112)
Model-Based Deep Learning (2020) (111)
Block-sparsity: Coherence and efficient recovery (2008) (110)
Linear minimax regret estimation of deterministic parameters with bounded data uncertainties (2004) (109)
A semidefinite programming approach to optimal unambiguous discrimination of quantumstates (2002) (109)
General Framework for Consistent Sampling in Hilbert Spaces (2005) (108)
Fast Deep Learning for Automatic Modulation Classification (2019) (106)
Sparse Phase Retrieval from Short-Time Fourier Measurements (2014) (105)
UVeQFed: Universal Vector Quantization for Federated Learning (2020) (105)
Sub-Nyquist radar prototype: Hardware and algorithm (2012) (105)
Sub-Nyquist Sampling for Power Spectrum Sensing in Cognitive Radios: A Unified Approach (2013) (104)
Geometrically uniform frames (2001) (104)
Non-Convex Phase Retrieval From STFT Measurements (2016) (102)
Optimal detection of symmetric mixed quantum states (2002) (101)
STFT Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms (2015) (98)
Nonideal sampling and interpolation from noisy observations in shift-invariant spaces (2006) (96)
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection (2019) (96)
Wideband Spectrum Sensing at Sub-Nyquist Rates [Applications Corner] (2010) (94)
Over-the-Air Federated Learning From Heterogeneous Data (2020) (90)
Compressed sensing for longitudinal MRI: An adaptive-weighted approach. (2014) (90)
Compressed Sensing: List of contributors (2012) (89)
Distributed Compressed Sensing for Static and Time-Varying Networks (2013) (87)
Smoothing and Decomposition for Analysis Sparse Recovery (2013) (86)
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation (2020) (84)
A fast and flexible method for the segmentation of aCGH data (2008) (83)
MMSE whitening and subspace whitening (2003) (83)
Fourier Phase Retrieval: Uniqueness and Algorithms (2017) (83)
Wideband Spectrum Sensing at Sub-Nyquist Rates (2010) (81)
CaSCADE: Compressed Carrier and DOA Estimation (2016) (81)
Minimum variance in biased estimation: bounds and asymptotically optimal estimators (2004) (81)
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021) (79)
Cognitive radar antenna selection via deep learning (2018) (78)
Robust Recovery of Signals From a Union of Subspaces (2008) (78)
Efficient and Interpretable Deep Blind Image Deblurring Via Algorithm Unrolling (2020) (78)
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems (2016) (77)
Nonuniform Sampling of Periodic Bandlimited Signals (2008) (76)
Sampling Without Input Constraints: Consistent Reconstruction in Arbitrary Spaces (2004) (75)
Rethinking Biased Estimation: Improving Maximum Likelihood and the Cramér-Rao Bound (2008) (75)
Spectrum Sharing Radar: Coexistence via Xampling (2016) (74)
Rethinking biased estimation [Lecture Notes] (2008) (73)
Adaptive Ultrasound Beamforming Using Deep Learning (2019) (73)
Foundations and Trends R © in Signal Processing (2013) (71)
Super-Resolution Ultrasound Localization Microscopy Through Deep Learning (2018) (71)
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds (2008) (71)
A minimum squared-error framework for generalized sampling (2006) (69)
Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection (2016) (69)
Super-resolution and reconstruction of sparse images carried by incoherent light. (2010) (69)
Covariance shaping least-squares estimation (2003) (69)
Dynamic Metasurface Antennas for Uplink Massive MIMO Systems (2019) (69)
A Family of Hybrid Analog–Digital Beamforming Methods for Massive MIMO Systems (2019) (68)
SUSHI: Sparsity-Based Ultrasound Super-Resolution Hemodynamic Imaging (2017) (67)
Rethinking Biased Estimation (2008) (67)
Sub-Nyquist Cyclostationary Detection for Cognitive Radio (2016) (66)
On conditions for uniqueness in sparse phase retrieval (2013) (65)
On the Constrained CramÉr–Rao Bound With a Singular Fisher Information Matrix (2009) (65)
Phase Retrieval from 1D Fourier Measurements: Convexity, Uniqueness, and Algorithms (2016) (65)
Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques From Noisy Measurements (2010) (63)
Doubly Constrained Robust Capon Beamformer With Ellipsoidal Uncertainty Sets (2007) (62)
Analog-to-Digital Cognitive Radio: Sampling, Detection, and Hardware (2017) (61)
Sampling Signals on Graphs: From Theory to Applications (2020) (60)
Sub-Nyquist Sampling: Bridging Theory and Practice (2011) (60)
Dual Gabor frames: theory and computational aspects (2005) (59)
Low-Rank Phase Retrieval (2016) (58)
Collaborative hierarchical sparse modeling (2010) (58)
Uniformly Improving the CramÉr-Rao Bound and Maximum-Likelihood Estimation (2006) (57)
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection (2020) (56)
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications (2021) (56)
Efficient sampling of sparse wideband analog signals (2008) (56)
Expected RIP: Conditioning of The modulated wideband converter (2009) (55)
Beam Focusing for Near-Field Multi-User MIMO Communications (2021) (55)
Federated Learning with Quantization Constraints (2020) (55)
A Competitive Mean-Squared Error Approach to Beamforming (2007) (55)
Distortion Rate Function of Sub-Nyquist Sampled Gaussian Sources (2016) (54)
DOLPHIn—Dictionary Learning for Phase Retrieval (2016) (54)
Mixed-quantum-state detection with inconclusive results (2002) (54)
Sparse Convolutional Beamforming for Ultrasound Imaging (2018) (53)
Generalized Shift-Invariant Systems and Frames for Subspaces (2005) (53)
A Minimax Chebyshev Estimator for Bounded Error Estimation (2008) (52)
SUMMeR: Sub-Nyquist MIMO Radar (2016) (51)
Block sparsity and sampling over a union of subspaces (2009) (50)
Fluxomers: a new approach for 13C metabolic flux analysis (2011) (50)
Robust downlink beamforming using covariance channel state information (2009) (50)
Robust Downlink Beamforming With Partial Channel State Information for Conventional and Cognitive Radio Networks (2013) (49)
Deep Signal Recovery with One-bit Quantization (2018) (49)
Xampling at the Rate of Innovation (2011) (48)
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics (2021) (47)
Optimal quantum detectors for unambiguous detection of mixed states (2003) (47)
Covariance Estimation in Decomposable Gaussian Graphical Models (2009) (47)
Maximum likelihood estimation in linear models with a Gaussian model matrix (2006) (47)
Beam Alignment and Tracking for Autonomous Vehicular Communication using IEEE 802.11ad-based Radar (2017) (47)
Hardware-Limited Task-Based Quantization (2018) (47)
Uniqueness conditions for low-rank matrix recovery (2011) (46)
Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration (2009) (46)
Modulated wideband converter with non-ideal lowpass filters (2010) (46)
Sub-Nyquist Radar Systems: Temporal, Spectral, and Spatial Compression (2018) (45)
Optimization of the MIMO Compound Capacity (2007) (45)
Federated Learning: A signal processing perspective (2021) (44)
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference (2015) (44)
Blind Minimax Estimation (2007) (44)
Deep Task-Based Quantization † (2019) (43)
Regularization in Regression with Bounded Noise: A Chebyshev Center Approach (2007) (43)
Deep Learning for Super-resolution Vascular Ultrasound Imaging (2019) (43)
A Lower Bound on the Bayesian MSE Based on the Optimal Bias Function (2008) (43)
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint (2019) (43)
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning (2021) (43)
Joint Radar-Communications Strategies for Autonomous Vehicles (2019) (42)
Recovery of Sparse Matrices via Matrix Sketching (2013) (42)
Analysis of Frequency Agile Radar via Compressed Sensing (2018) (42)
Performance of time delay estimation in a cognitive radar (2017) (42)
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals (2010) (42)
COVID-19 classification of X-ray images using deep neural networks (2020) (42)
Spatial compressive sensing in MIMO radar with random arrays (2012) (41)
A Cognitive Sub-Nyquist MIMO Radar Prototype (2018) (41)
Photoacoustic imaging beyond the acoustic diffraction-limit with dynamic speckle illumination and sparse joint support recovery (2016) (41)
Single-beam spectrally controlled two-dimensional Raman spectroscopy (2015) (41)
Exploiting Flow Dynamics for Superresolution in Contrast-Enhanced Ultrasound (2018) (40)
Uncertainty Relations for Shift-Invariant Analog Signals (2008) (39)
On Fienup Methods for Sparse Phase Retrieval (2017) (39)
Radar and Communication Co-existence: an Overview (2019) (38)
FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation (2020) (38)
Fundamental Distortion Limits of Analog-to-Digital Compression (2016) (38)
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype (2020) (38)
Deep Learning for Fast Adaptive Beamforming (2019) (37)
Shannon Meets Nyquist: Capacity of Sampled Gaussian Channels (2011) (37)
Comparing between estimation approaches: admissible and dominating linear estimators (2006) (37)
PETRELS: Subspace estimation and tracking from partial observations (2012) (37)
Reference-based MRI. (2015) (36)
Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits (2018) (36)
Single-frame rapid autofocusing for brightfield and fluorescence whole slide imaging. (2016) (36)
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing (2022) (36)
Xampling: Analog Data Compression (2010) (36)
SPARCOM: Sparsity Based Super-resolution Correlation Microscopy (2017) (36)
Reduced-dimension multiuser detection (2011) (36)
Deep Networks for Direction-of-Arrival Estimation in Low SNR (2020) (36)
Characterization of Oblique Dual Frame Pairs (2006) (36)
Sampling at the rate of innovation: theory and applications (2012) (35)
Distributed sparse signal recovery for sensor networks (2012) (35)
Subspace Learning with Partial Information (2014) (35)
An $L_1$-Method for the Design of Linear-Phase FIR Digital Filters (2007) (34)
Efficient phase retrieval of sparse signals (2012) (34)
On the Minimax Risk of Dictionary Learning (2015) (34)
Non-Coherent Direction of Arrival Estimation from Magnitude-Only Measurements (2015) (34)
Asymptotic Task-Based Quantization With Application to Massive MIMO (2018) (34)
Data-Driven Symbol Detection Via Model-Based Machine Learning (2020) (34)
Sub-Nyquist SAR via Fourier Domain Range-Doppler Processing (2016) (34)
Robust Downlink Beamforming for Cognitive Radio Networks (2010) (34)
Data-Driven Factor Graphs for Deep Symbol Detection (2020) (34)
von Neumann measurement is optimal for detecting linearly independent mixed quantum states (2003) (34)
Compressed Sensing of Analog Signals (2008) (34)
Xampling: Compressed Sensing of Analog Signals (2011) (33)
Sub-Nyquist Sampling and Fourier Domain Beamforming in Volumetric Ultrasound Imaging (2015) (33)
Undersampled Phase Retrieval With Outliers (2014) (33)
Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open Datasets (2021) (33)
Sub-Nyquist Sampling of Short Pulses (2010) (33)
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising (2020) (33)
Low rank magnetic resonance fingerprinting (2016) (33)
Sparsity-based super-resolution microscopy from correlation information. (2018) (32)
The Global Optimization Geometry of Shallow Linear Neural Networks (2018) (32)
GPS signal acquisition via compressive multichannel sampling (2011) (32)
ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm (2019) (32)
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction (2018) (32)
An Algorithm Unrolling Approach to Deep Image Deblurring (2019) (32)
Sparsity-based super-resolved coherent diffraction imaging of one-dimensional objects (2015) (32)
Phase retrieval with masks using convex optimization (2015) (32)
Learned SPARCOM: Unfolded Deep Super-Resolution Microscopy (2020) (31)
Least-squares inner product shaping (2002) (31)
On the Uniqueness of FROG Methods (2017) (31)
Robust Mean-Squared Error Estimation of Multiple Signals in Linear Systems Affected by Model and Noise Uncertainties (2005) (31)
Xampling in ultrasound imaging (2011) (31)
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization (2022) (30)
Sparse Array Design via Fractal Geometries (2020) (30)
On the asymptotic performance of the decorrelator (2003) (30)
High-Rate Interpolation of Random Signals From Nonideal Samples (2009) (30)
MSE Bounds With Affine Bias Dominating the CramÉr–Rao Bound (2008) (30)
Channel Capacity Under Sub-Nyquist Nonuniform Sampling (2012) (30)
RF Chain Reduction for MIMO Systems: A Hardware Prototype (2019) (30)
Minimax MSE-ratio estimation with signal covariance uncertainties (2005) (29)
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. (2021) (29)
Sub-Nyquist Radar: Principles and Prototypes (2018) (29)
Cyclostationary feature detection from sub-Nyquist samples (2011) (29)
A Mixer Front End for a Four-Channel Modulated Wideband Converter With 62-dB Blocker Rejection (2017) (29)
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity (2016) (28)
Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs (2019) (28)
Convolutional Phase Retrieval via Gradient Descent (2017) (28)
Minimax estimation of deterministic parameters in linear models with a random model matrix (2006) (28)
Robust and Consistent Sampling (2009) (27)
Orthogonal and projected orthogonal matched filter detection (2004) (27)
Sub-Nyquist channel estimation over IEEE 802.11ad link (2017) (27)
Minimax Approximation of Representation Coefficients From Generalized Samples (2007) (27)
Hardware calibration of the modulated wideband converter (2014) (27)
Maximum set estimators with bounded estimation error (2005) (26)
Minimax MSE estimation of deterministic parameters with noise covariance uncertainties (2006) (26)
Low‐rank magnetic resonance fingerprinting (2017) (26)
Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components (2019) (25)
A unified view of diffusion maps and signal processing on graphs (2017) (25)
Blind Compressed Sensing Over a Structured Union of Subspaces (2011) (25)
On MIMO Channel Capacity with Output Quantization Constraints (2018) (25)
Universal Weighted MSE Improvement of the Least-Squares Estimator (2008) (25)
Sub-Nyquist processing with the modulated wideband converter (2010) (24)
Hypoxia causes connexin 43 internalization in neonatal rat ventricular myocytes. (2010) (24)
Dictionary Learning for Adaptive GPR Landmine Classification (2018) (24)
Cognitive sub-Nyquist hardware prototype of a collocated MIMO radar (2016) (24)
Channel estimation in UWB channels using compressed sensing (2014) (24)
Sparsity-driven super-resolution in clinical contrast-enhanced ultrasound (2017) (24)
Hybrid Analog-Digital Beamforming for Massive MIMO Systems (2017) (24)
Nonlinear and Nonideal Sampling: Theory and Methods (2008) (23)
Compressed sensing under optimal quantization (2017) (23)
Generalized Sampling on Graphs With Subspace and Smoothness Priors (2019) (23)
Spectrum Sharing Solution for Automotive Radar (2017) (22)
Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection. (2016) (22)
Distributed approximate message passing for sparse signal recovery (2014) (22)
Fourier-Domain Beamforming and Structure-Based Reconstruction for Plane-Wave Imaging (2018) (22)
Quantum state tomography with a single measurement setup (2017) (22)
Covalsa: Covariance estimation from compressive measurements using alternating minimization (2014) (21)
On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization (2017) (21)
TenDSuR: Tensor-Based 4D Sub-Nyquist Radar (2018) (21)
U-Invariant Sampling: Extrapolation and Causal Interpolation From Generalized Samples (2011) (21)
Beyond Bandlimited Sampling: Nonlinearities, Smoothness and Sparsity (2008) (21)
Blind Phaseless Short-Time Fourier Transform Recovery (2018) (21)
Mean-Squared Error Estimation for Linear Systems with Block Circulant Uncertainty (2007) (21)
An optimal whitening approach to linear multiuser detection (2003) (21)
On Signal Reconstruction from FROG Measurements (2017) (21)
Sparse Fractal Array Design with Increased Degrees of Freedom (2019) (21)
Xampling--Part I: Practice (2009) (21)
Robust Competitive Estimation With Signal and Noise Covariance Uncertainties (2006) (21)
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection (2019) (21)
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting (2019) (21)
STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning: Framework, Analysis, and Optimization (2021) (20)
The Communication-Aware Clustered Federated Learning Problem (2020) (20)
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization (2019) (20)
Compressive Link Acquisition in Multiuser Communications (2012) (20)
Centralized cooperative spectrum sensing from sub-Nyquist samples for Cognitive Radios (2015) (20)
Reconstruction of nonuniformly sampled periodic signals: algorithms and stability analysis (2004) (20)
High spatial resolution radar using thinned arrays (2017) (20)
Optimal Generalized Inverses for Zero Forcing Precoding (2007) (19)
Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges (2021) (19)
Task-Based Quantization with Application to MIMO Receivers (2020) (19)
Conditions for target recovery in spatial compressive sensing for MIMO radar (2013) (19)
13-fold resolution gain through turbid layer via translated unknown speckle illumination. (2018) (19)
Unbiased Estimation of a Sparse Vector in White Gaussian Noise (2010) (19)
Reference-based compressed sensing: A sample complexity approach (2016) (19)
Challenge on Ultrasound Beamforming with Deep Learning (CUBDL) (2020) (19)
Orthogonal matched filter detection (2001) (19)
iMAP Beamforming for High-Quality High Frame Rate Imaging (2018) (18)
FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation (2021) (18)
Introduction to the Issue on Compressive Sensing (2010) (18)
Mean-Squared Error Sampling and Reconstruction in the Presence of Noise (2006) (18)
Super-resolution photoacoustic and ultrasound imaging with sparse arrays (2019) (18)
High Resolution FDMA MIMO Radar (2017) (18)
Deep Algorithm Unrolling for Blind Image Deblurring (2019) (18)
On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems (2018) (18)
Challenges and Open Problems in Signal Processing: Panel Discussion Summary from ICASSP 2017 [Panel and Forum] (2017) (18)
Generic sensing hardware and real-time reconstruction for structured analog signals (2011) (18)
Orthogonal multiuser detection (2002) (18)
Joint spectrum sensing and direction of arrival recovery from sub-Nyquist samples (2015) (17)
Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals (2016) (17)
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels (2021) (17)
Towards sub-nyquist cognitive radar (2016) (17)
Recent Advances in Phase Retrieval [Lecture Notes] (2016) (17)
Uncertainty Relations for Analog Signals (2008) (17)
Sensor Calibration for Off-the-Grid Spectral Estimation (2017) (17)
Modified distributed iterative hard thresholding (2015) (17)
A general framework for MIMO receivers with low-resolution quantization (2017) (17)
Compressed beamforming applied to B-mode ultrasound imaging (2011) (17)
Learned Factor Graphs for Inference From Stationary Time Sequences (2020) (17)
Low rank matrix recovery from column-wise phaseless measurements (2016) (17)
A Unified Approach to Dual Gabor Windows (2007) (17)
Clutter Removal in Sub-Nyquist Radar (2015) (16)
Optimal Encoding of Classical Information in a Quantum Medium (2006) (16)
Sparsity-driven super-localization in clinical contrast-enhanced ultrasound (2017) (16)
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares (2010) (16)
Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks (2018) (16)
On the 2D Phase Retrieval Problem (2016) (16)
Nonlinear and Non-Ideal Sampling : Theory and Methods (2008) (16)
A Dual-Function Radar Communication System Using Index Modulation (2019) (16)
Multi-Carrier Agile Phased Array Radar (2019) (16)
Sparse Doppler Sensing Based on Nested Arrays (2017) (16)
Carrier frequency and bandwidth estimation of cyclostationary multiband signals (2016) (16)
Subspace Recovery From Structured Union of Subspaces (2013) (16)
Model-Based Machine Learning for Communications (2021) (15)
Sparsity-based Ultrasound Super-resolution Hemodynamic Imaging (2017) (15)
Sub-Nyquist Radar (2013) (15)
Minimax estimators dominating the least-squares estimator (2005) (15)
Automatic parameter setting for iterative shrinkage methods (2008) (15)
Unitary Approximate Message Passing for Sparse Bayesian Learning (2021) (15)
The Distortion Rate Function of Cyclostationary Gaussian Processes (2015) (15)
Sparsity-based super-resolution and phase-retrieval in waveguide arrays. (2013) (15)
Deep Neural Network Symbol Detection for Millimeter Wave Communications (2019) (15)
Efficient coherent diffractive imaging for sparsely varying objects. (2013) (15)
Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO with One-Bit ADCs (2018) (15)
Hidden convexity based near maximum-likelihood CDMA detection (2005) (15)
Sub-Nyquist sampling of short pulses (2012) (14)
Performance limits of dictionary learning for sparse coding (2014) (14)
Sparsity-based Ankylography for Recovering 3D molecular structures from single-shot 2D scattered light intensity (2015) (14)
The application of Compressed Sensing for Longitudinal MRI (2014) (14)
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization (2022) (14)
Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems (2019) (14)
Minimax Mean-Squared Error Estimation of Multichannel Signals (2005) (14)
Cyclic spectrum reconstruction and cyclostationary detection from sub-Nyquist samples (2013) (14)
Graph Sampling with and Without Input Priors (2018) (14)
Hidden Relationships: Bayesian Estimation With Partial Knowledge (2011) (14)
Systematic Determination of Replication Activity Type Highlights Interconnections between Replication, Chromatin Structure and Nuclear Localization (2012) (14)
Optimized Sparse Array Design Based on the Sum Coarray (2018) (14)
Robust deconvolution of deterministic and random signals (2005) (14)
Sampling and Super Resolution of Sparse Signals Beyond the Fourier Domain (2018) (13)
Blind minimax estimators: improving on least-squares estimation (2005) (13)
Recovering signals from the Short-Time Fourier Transform magnitude (2015) (13)
Kalmannet: Data-Driven Kalman Filtering (2021) (13)
Mean‐Squared Error Beamforming for Signal Estimation: A Competitive Approach (2005) (13)
Convolutional Phase Retrieval (2017) (13)
Low Rate Sampling of Pulse Streams with Application to Ultrasound Imaging (2010) (13)
Sparsity-based recovery of three-photon quantum states from two-fold correlations (2016) (13)
The Enhanced Kramers Kronig Receiver (2018) (13)
Sub-Nyquist acquisition hardware for wideband communication (2010) (13)
Near-Oracle Performance of Basis Pursuit under Random Noise (2009) (13)
Rapid quantum image scanning microscopy by joint sparse reconstruction (2019) (13)
COTAF: Convergent Over-the-Air Federated Learning (2020) (13)
Beamforming in Integrated Sensing and Communication Systems with Reconfigurable Intelligent Surfaces (2022) (13)
Fast reference based MRI (2015) (13)
LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers (2021) (13)
Sparse source separation from orthogonal mixtures (2009) (13)
Deep Convolutional Robust PCA with Application to Ultrasound Imaging (2019) (13)
Centralized Identification of Imbalances in Power Networks With Synchrophasor Data (2018) (12)
Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers (2020) (12)
Convex Optimization in Signal Processing and Communications: Optimization techniques in modern sampling theory (2009) (12)
A mixer frontend for a four-channel Modulated Wideband Converter with 62 dB blocker rejection (2016) (12)
An L1-Method for the Design of Linear-Phase FIR Digital Filters (2007) (12)
The Distortion-Rate Function of Sampled Wiener Processes (2016) (12)
A covariance shaping framework for linear multiuser detection (2005) (12)
Task-Based Analog-to-Digital Converters (2020) (12)
Spectrum-blind reconstruction of multi-band signals (2008) (12)
A General Framework for Low-Resolution Receivers for MIMO Channels (2017) (12)
Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces (2021) (12)
Reduced time-on-target in pulse Doppler radar: Slow time domain compressed sensing (2016) (12)
STAR-RIS Enabled Heterogeneous Networks: Ubiquitous NOMA Communication and Pervasive Federated Learning (2021) (12)
Convex Optimization in Signal Processing [From the Guest Editors (2010) (12)
Pilot contamination mitigation with reduced RF chains (2017) (12)
Bayesian Federated Learning over Wireless Networks (2020) (12)
Compressive sensing with unknown parameters (2012) (12)
Optimal trade-off between sampling rate and quantization precision in Sigma-Delta A/D conversion (2015) (12)
Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis (2018) (12)
A Constructive Inversion Framework for Twisted Convolution (2005) (12)
The Cramer-Rao Bound for Sparse Estimation (2009) (12)
A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications (2020) (12)
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification (2022) (11)
Deep Quantization for MIMO Channel Estimation (2019) (11)
The Viterbi Algorithm for Subset Selection (2015) (11)
Modeling and Recovery of Graph Signals and Difference-Based Signals (2019) (11)
An algorithm for exact super-resolution and phase retrieval (2013) (11)
Integrated Sensing and Communications with Reconfigurable Intelligent Surfaces (2022) (11)
Recovering Signals From Lowpass Data (2009) (11)
Coherent superresolution imaging via grating-based illumination (2017) (11)
Joint Sampling and Recovery of Correlated Sources (2019) (11)
On geometric properties of the decorrelator (2002) (11)
Sub-Nyquist sampling of OFDM signals for cognitive radios (2014) (11)
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests (2020) (11)
Denoising of image patches via sparse representations with learned statistical dependencies (2011) (11)
On unbiased estimation of sparse vectors corrupted by Gaussian noise (2010) (11)
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19 (2021) (11)
Sample Efficient Toeplitz Covariance Estimation (2019) (11)
Deep-Sparse Array Cognitive Radar (2019) (11)
Performance bounds for sparse estimation with random noise (2009) (10)
Exploiting similarity in adjacent slices for compressed sensing MRI (2014) (10)
Structured LISTA for Multidimensional Harmonic Retrieval (2021) (10)
Model-Based Deep Learning: Key Approaches and Design Guidelines (2021) (10)
Performance Tradeoffs Among Adaptive Beamforming Criteria (2007) (10)
Sparsity-Based Super Resolution for SEM Images (2017) (10)
A Hardware Prototype for Sub-Nyquist Radar Sensing (2013) (10)
BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization (2020) (10)
PEAR: PEriodic And fixed Rank separation for fast fMRI (2017) (10)
System identification from partial samples: Non-asymptotic analysis (2016) (10)
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization (2022) (10)
Unrolling of Deep Graph Total Variation for Image Denoising (2020) (10)
Extensions of sub-Nyquist radar: Reduced time-on-target and cognitive radar (2015) (10)
Robust Simultaneous Wireless Information and Power Transfer in Beamspace Massive MIMO (2019) (10)
Finite-memory denoising in impulsive noise using Gaussian mixture models (2001) (10)
Fundamental Limits of Compressed Sensing under Optimal Quantization (2017) (10)
A neural network implementing optimal state estimation based on dynamic spike train decoding (2007) (10)
6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing (2022) (10)
Quantum State Detector Design: Optimal Worst-Case a posteriori Performance ∗ (2004) (10)
Functional Nonlinear Sparse Models (2018) (10)
An expected least-squares beamforming approach to signal estimation with steering vector uncertainties (2006) (10)
Sampling on Graphs: From Theory to Applications (2020) (10)
Pilot Sequence Design for Mitigating Pilot Contamination With Reduced RF Chains (2020) (10)
An -Method for the Design of Linear-Phase FIR Digital Filters (2007) (10)
Deep Soft Interference Cancellation for MIMO Detection (2020) (10)
Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Images (2021) (10)
Optimization techniques in modern sampling theory (2010) (10)
Sparse signal recovery from nonlinear measurements (2013) (10)
Measurement Matrix Design for Phase Retrieval Based on Mutual Information (2017) (10)
Bayesian Estimation of Graph Signals (2021) (9)
A Comment on the Weiss–Weinstein Bound for Constrained Parameter Sets (2008) (9)
Low complexity acquisition of GPS signals (2011) (9)
Coherence-based near-oracle performance guarantees for sparse estimation under Gaussian noise (2010) (9)
On the Minimax Capacity Loss Under Sub-Nyquist Universal Sampling (2013) (9)
Nonlinear compressed sensing with application to phase retrieval (2013) (9)
Distributed cooperative spectrum sensing from sub-Nyquist samples for Cognitive Radios (2015) (9)
A network-based method for predicting gene-nutrient interactions and its application to yeast amino-acid metabolism. (2009) (9)
Estimation in autoregressive processes with partial observations (2017) (9)
The SPURS Algorithm for Resampling an Irregularly Sampled Signal onto a Cartesian Grid (2016) (9)
Probability-constrained approach to estimation of random Gaussian parameters (2005) (9)
Deep-Learning Based Adaptive Ultrasound Imaging From Sub-Nyquist Channel Data (2020) (9)
Low Rate Sampling Schemes for Time Delay Estimation (2009) (9)
Backing Off From Infinity: Performance Bounds via Concentration of Spectral Measure for Random MIMO Channels (2013) (9)
Sub-Nyquist Sampling of Short Pulses: Part I (2010) (9)
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding (2021) (9)
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction (2020) (9)
Hardware-Limited Task-Based Quantization (2018) (9)
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation (2020) (9)
Phase Transitions in Frequency Agile Radar Using Compressed Sensing (2020) (9)
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink (2022) (9)
Deep Learning in Medical Ultrasound—From Image Formation to Image Analysis (2020) (9)
Seventy Years of Radar and Communications: The Road from Separation to Integration (2022) (9)
Recovery of Sparse Positive Signals on the Sphere from Low Resolution Measurements (2015) (8)
Fourier domain beamforming for medical ultrasound (2012) (8)
Compressed 3D ultrasound imaging with 2D arrays (2014) (8)
Collaborative Inference via Ensembles on the Edge (2021) (8)
Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems (2021) (8)
Transmit Precoder Design Approaches for Dual-Function Radar-Communication Systems (2022) (8)
Sub-Nyquist sampling achieves optimal rate-distortion (2015) (8)
Identification of Underspread Linear Systems with Application to Super-Resolution Radar (2010) (8)
RaSSteR: Random Sparse Step-Frequency Radar (2020) (8)
Compressed cyclostationary detection for Cognitive Radio (2017) (8)
A Least Squares Approach for Stable Phase Retrieval from Short-Time Fourier Transform Magnitude (2015) (8)
Rate-distortion trade-offs in acquisition of signal parameters (2017) (8)
Point of Care Image Analysis for COVID-19 (2020) (8)
Beamforming maximizes the rank one Ricean MIMO compound capacity (2005) (8)
MIMO Networks With One-Bit ADCs: Receiver Design and Communication Strategies (2021) (8)
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals (2021) (8)
Sparse Estimation of Faults by Compressed Sensing With Structural Constraints (2018) (8)
Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network (2019) (8)
Fourier domain beamforming for coherent plane-wave compounding (2015) (8)
Strong Duality of Sparse Functional Optimization (2018) (8)
Identifiability Conditions for Compressive Multichannel Blind Deconvolution (2020) (8)
Optimization Techniques in Wireless Communications (2009) (8)
A Minimum Squared-Error Framework for Sampling and Reconstruction in Arbitrary Spaces (2004) (8)
Compressive Shift Retrieval (2013) (8)
Sparsity-Based Reconstruction of SubwavelengthImages from their Optical Far-Field (2010) (8)
Parallel Coordinate Descent Algorithms for Sparse Phase Retrieval (2019) (8)
Phaseless super-resolution using masks (2016) (8)
Ensemble Wrapper Subsampling for Deep Modulation Classification (2020) (7)
Frames and Overcomplete Representations in Signal Processing, Communications, and Information Theory (2006) (7)
The network nullspace property for compressed sensing over networks (2017) (7)
Fedrec: Federated Learning of Universal Receivers Over Fading Channels (2020) (7)
Reduced-dimension multiuser detection (2013) (7)
Minimum MSE Estimation with Convex Constraints (2007) (7)
Interpolation with nonuniform B-splines (2004) (7)
Multichannel blind compressed sensing (2010) (7)
Constrained nonlinear minimum mse estimation (2008) (7)
Global methods for compressive sensing in MIMO radar with distributed sensors (2011) (7)
Image Restoration by Deep Projected GSURE (2021) (7)
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models (2021) (7)
Linear MIMO precoders for fixed receivers (2004) (7)
On the identification of parametric underspread linear systems (2011) (7)
On convexity and identifiability in 1-D Fourier phase retrieval (2016) (7)
Non-Ideal Sampling and Interpolation from Noisy Observations in Shift-Invariant Spaces (2005) (7)
Generalized Graph Spectral Sampling with Stochastic Priors (2020) (7)
Learned super resolution ultrasound for improved breast lesion characterization (2021) (7)
Dictionary learning from phaseless measurements (2016) (7)
A pre-test like estimator dominating the least-squares method (2008) (7)
FILTERBANK RECONSTRUCTION OF PERIODIC SIGNALS AND SAMPLING IN POLAR COORDINATES (2003) (7)
Partially Linear Estimation With Application to Sparse Signal Recovery From Measurement Pairs (2011) (7)
On Throughput of Millimeter Wave MIMO Systems with Low Resolution ADCs (2020) (7)
A lower bound on the estimator variance for the sparse linear model (2010) (7)
Super-resolution in Phase Space (2015) (7)
The Nystrom Extension for Signals Defined on a Graph (2018) (7)
RTSNet: Deep Learning Aided Kalman Smoothing (2022) (7)
Time delay estimation: Compressed sensing over an infinite union of subspaces (2010) (7)
Compressed beamforming with applications to ultrasound imaging (2012) (7)
Optimal trade-off between sampling rate and quantization precision in A/D conversion (2015) (7)
Graph Signal Denoising Using Nested-Structured Deep Algorithm Unrolling (2021) (6)
The Sample Complexity of Subspace Learning with Partial Information (2014) (6)
Smooth Graph Signal Interpolation for Big Data (2018) (6)
Competitive Mean-Squared Error Beamforming (2004) (6)
Noninvertible Gabor Transforms (2009) (6)
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning (2020) (6)
Probabilistically-constrained Estimation of Random Parameters with Unknown Distribution (2006) (6)
Low-rate identification of memory polynomials (2014) (6)
Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces (2022) (6)
Nonlinear and Nonideal Sampling Revisited (2010) (6)
The Learned Inexact Project Gradient Descent Algorithm (2018) (6)
Analog compressed sensing for RF propagation channel sounding (2012) (6)
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI (2022) (6)
Multi-Branch Matching Pursuit with applications to MIMO radar (2013) (6)
Compressed LISTA Exploiting Toeplitz Structure (2019) (6)
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow - Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction" (2021) (6)
Graph Signal Denoising Via Unrolling Networks (2021) (6)
Sparse Convolutional Beamforming for Wireless Ultrasound (2020) (6)
Identification of power line outages (2014) (6)
Tradeoff Between Delay and High SNR Capacity in Quantized MIMO Systems (2019) (6)
An Algorithm Unrolling Approach to Deep Blind Image Deblurring (2019) (6)
Sub-Nyquist MIMO radar prototype with Doppler processing (2017) (6)
Unfolding Neural Networks for Compressive Multichannel Blind Deconvolution (2020) (6)
Deep Unfolding With Normalizing Flow Priors for Inverse Problems (2021) (6)
Online Meta-Learning For Hybrid Model-Based Deep Receivers (2022) (6)
Convex Optimization in Signal Processing (2010) (6)
FoCUS: Fourier-Based Coded Ultrasound (2016) (6)
Online dictionary learning aided target recognition in cognitive GPR (2017) (6)
Cramér–Rao Lower Bound on AoA Estimation Using an RF Lens-Embedded Antenna Array (2018) (6)
Gaussian distortion-rate function under sub-nyquist nonuniform sampling (2014) (6)
Continuous sparse recovery for direction of arrival estimation with co-prime arrays (2014) (6)
On Multiterminal Communication over MIMO Channels with One-bit ADCs at the Receivers (2019) (6)
Theoretical Perspectives on Deep Learning Methods in Inverse Problems (2022) (6)
The Continuous Joint Sparsity Prior for Sparse Representations: Theory and Applications (2007) (6)
Collaborative Sensing in Perceptive Mobile Networks: Opportunities and Challenges (2022) (6)
Early perceptual loss in depression (2007) (6)
A swiss army knife for finite rate of innovation sampling theory (2016) (6)
Analog to Digital Cognitive Radio (2017) (5)
Coordinated Pilot Design for Massive MIMO (2019) (5)
Sampling FRI signals with the SOS kernel: Bounds and optimal kernel (2015) (5)
Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training (2012) (5)
A Markov Variation Approach to Smooth Graph Signal Interpolation (2018) (5)
Towards an integrated circuit design of a compresssed sampling wireless receiver (2012) (5)
Deep Learning Models for Fast Ultrasound Localization Microscopy (2020) (5)
Automotive Dual-Function Radar Communications Systems: An Overview (2020) (5)
Phase retrieval of sparse signals using optimization transfer and ADMM (2014) (5)
Far-Field Microscopy of Sparse Subwavelength Objects (2010) (5)
Efficient Gabor expansion using non minimal dual Gabor windows (2004) (5)
Super-resolution spectroscopy by compact representation (2012) (5)
Maximum Likelihood Estimation in Random Linear Models: Generalizations and Performance Analysis (2006) (5)
The Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (2009) (5)
Performance tradeoffs among beamforming approaches (2006) (5)
Guiding Principles for a Pediatric Neurology ICU (neuroPICU) Bedside Multimodal Monitor (2016) (5)
Extended Cantor Arrays with Hole-Free Fourth-Order Difference Co-Arrays (2021) (5)
Enhanced Channel Estimation in Massive MIMO via Coordinated Pilot Design (2019) (5)
Serial Quantization for Sparse Time Sequences (2019) (5)
A robust maximum likelihood multiuser detector in the presence of signature uncertainties (2004) (5)
Analog compressed sensing (2009) (5)
Shannon meets Nyquist: Capacity limits of sampled analog channels (2011) (5)
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results (2022) (5)
Distortion rate function of sub-Nyquist sampled Gaussian sources corrupted by noise (2013) (5)
Compressed Fourier-Domain Convolutional Beamforming for Wireless Ultrasound imaging (2020) (5)
PETRELS: Parallel Estimation and Tracking of Subspace by Recursive Least Squares from Partial Observations (2012) (5)
A Parallel Algorithm for Phase Retrieval with Dictionary Learning (2021) (5)
High Resolution Plane Wave Compounding Through Deep Proximal Learning (2020) (5)
Bounded Error Estimation: A Chebyshev Center Approach (2007) (5)
Sparsity-based super-resolution coherent diffractive imaging of (practically) 1D images using extreme UV radiation (2013) (5)
Massive MIMO as an Extreme Learning Machine (2020) (5)
Blind Detection for Ambient Backscatter Communication System with Multiple-Antenna tags (2018) (4)
Adaptive frequency allocation in radar imaging: Towards cognitive SAR (2017) (4)
A Wasserstein Minimax Framework for Mixed Linear Regression (2021) (4)
Frequency-Resolved Optical Gating Recovery via Smoothing Gradient (2019) (4)
Maximum likelihood estimation under partial sparsity constraints (2013) (4)
Reweighted L1-norm minimization with guarantees: An incremental measurement approach to sparse reconstruction (2017) (4)
Artificial Intelligence and Early Detection of Pancreatic Cancer (2021) (4)
Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas (2021) (4)
Constrained Linear Minimum MSE Estimation (2007) (4)
Convex Optimization in Signal Processing and Communications March (2009) (4)
A fast algorithm for calculating the dual Gabor window with integer oversampling (2004) (4)
Graph Signal Compression via Task-Based Quantization (2021) (4)
Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs (2022) (4)
Unsupervised Learned Kalman Filtering (2021) (4)
Maximum A-Posteriori Estimation in Linear Models With a Gaussian Model Matrix (2007) (4)
Minimum Variance Estimation of a Sparse Vector Within the Linear Gaussian Model: An RKHS Approach (2013) (4)
Reduced-Dimension Multiuser Detection (2010) (4)
Parameter estimation in linear models based on outage probability minimization (2006) (4)
Compressed Sensing and Applications to Optical Imaging (2012) (4)
Residual Recovery Algorithm for Modulo Sampling (2021) (4)
Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses (2020) (4)
Quantum detection with uncertain states (2005) (4)
Multiple Carrier Agile Radar via Compressed Sensing (2018) (4)
Robust Unlimited Sampling Beyond Modulo (2022) (4)
Community Inference from Graph Signals with Hidden Nodes (2019) (4)
Enabling Ubiquitous Non-Orthogonal Multiple Access and Pervasive Federated Learning via STAR-RIS (2021) (4)
Fundamental estimation limits in autoregressive processes with compressive measurements (2017) (4)
Joint Transmit Beamforming for Multiuser MIMO Communications and Radar (2020) (4)
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming (2022) (4)
The Design of Optimal L1Linear Phase FIR Digital Filters (2006) (4)
Recursive blind minimax estimation: improving mse over recursive least squares (2008) (4)
Minimum mean-squared error covariance shaping (2003) (4)
Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas (2021) (4)
Serial Quantization for Representing Sparse Signals (2019) (4)
On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein’s Unbiased Risk Estimator (2020) (4)
On Fienup Methods for Regularized Phase Retrieval (2017) (4)
A sub-nyquist analog front-end with subarray beamforming for ultrasound imaging (2015) (4)
Sub-Nyquist medical ultrasound imaging: En route to cloud processing (2013) (4)
Channel capacity under general nonuniform sampling (2012) (4)
Convex Optimization in Signal Processing and Communications: Afterword (2009) (4)
Model-Aware Deep Learning Based Strategies for Clutter Suppression in Contrast Enhanced Ultrasound (2018) (3)
Enhancing the Kramers-Kronig receiver via dispersion-based spatial diversity. (2020) (3)
Distributed Quantization for Sparse Time Sequences (2019) (3)
Learned SPARCOM: unfolded deep super-resolution microscopy. (2020) (3)
Improvement of Least-Squares Under Arbitrary Weighted MSE (2007) (3)
Efficient Binary Cnn For Medical Image Segmentation (2021) (3)
Direction of arrival by non-coherent arrays (2016) (3)
Filter bank interpolation and reconstruction from generalized and recurrent nonuniform samples (2000) (3)
Distortion-Rate Function for Undersampled Gaussian Processes (2013) (3)
Sparse emission pattern in spectral blood Doppler (2017) (3)
Sparse Recovery Of Imaging Transcriptomics Data (2021) (3)
Semi-supervised multi-domain regression with distinct training sets (2012) (3)
Towards sub-Nyquist tissue Doppler imaging using non-uniformly spaced stream of pulses (2015) (3)
Sparsity based super-resolution optical imaging using correlation information (2017) (3)
Sub-Nyquist Sampling of Short Pulses: Theory (2011) (3)
Learning to Estimate Without Bias (2021) (3)
Semidefinite Relaxation of the 16-QAM Maximum Likelihood Detector (2005) (3)
Hardware prototype demonstration of a cognitive sub‐Nyquist automotive radar (2019) (3)
Fluxomers: a new approach for 13 C metabolic flux (2011) (3)
Graph Signal Restoration Using Nested Deep Algorithm Unrolling (2021) (3)
A Doppler focusing approach for sub-Nyquist radar (2013) (3)
Solitonets: complex networks of interacting fields (2008) (3)
Exploiting FRI signal structure for sub-Nyquist sampling and processing in medical ultrasound (2015) (3)
Global testing against sparse alternatives in time-frequency analysis (2014) (3)
Dictionary Learning for Adaptive GPR Target Classification. (2018) (3)
Sparse Recovery over Nonlinear Dictionaries (2019) (3)
OVERSAMPLING OF THE GENERALIZED MULTIWINDOW GABOR SCHEME (2005) (3)
Introduction to the Issue on Convex Optimization Methods for Signal Processing (2007) (3)
Generalized Sampling on Graphs With A Subspace Prior (2019) (3)
SIGIBE: Solving random bilinear equations via gradient descent with spectral initialization (2016) (3)
Spectral Coexistence in radar using Xampling (2017) (3)
Minimax universal sampling for compound multiband channels (2013) (3)
Doppler Slicing for Ultrasound Super-Resolution Without Contrast Agents (2021) (3)
A Coding Theory Perspective on Multiplexed Molecular Profiling of Biological Tissues (2020) (3)
Implications and methods for co-existing automotive radar and communication systems (2018) (3)
Coordinated Nonorthogonal Pilot Design for Massive MIMO (2019) (3)
Optimization Guarantees for ISTA and ADMM Based Unfolded Networks (2022) (3)
Phase retrieval from STFT measurements via non-convex optimization (2017) (3)
A Hybrid Vector Wiener Filter Approach to Translational Super-Resolution (2010) (3)
Range-Doppler processing via fourier coefficients: The path to a sub-Nyquist SAR (2016) (3)
Sampling stationary signals subject to bitrate constraints (2016) (3)
Reconstruction of FRI Signals using Autoencoders with Fixed Decoders (2021) (3)
The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise (2019) (3)
Model-based Deep Learning on Ultrasound Channel Data for Fast Ultrasound Localization Microscopy (2021) (3)
Bit Constrained Communication Receivers In Joint Radar Communications Systems (2021) (3)
Coded excitation ultrasound: Efficient implementation via frequency domain processing (2016) (3)
A Competitive Minimax Approach to Robust Estimation in Linear Models (2007) (3)
Learning to Sample: Data-Driven Sampling and Reconstruction of FRI Signals (2021) (3)
Inference from Stationary Time Sequences via Learned Factor Graphs (2020) (3)
Estimation with maximum error requirements (2004) (2)
Sub-Nyquist pulse Doppler MIMO radar (2017) (2)
A Fast-Learning Sparse Antenna Array (2020) (2)
Model-Inspired Deep Detection with Low-Resolution Receivers (2021) (2)
Shift-invariant spaces (2014) (2)
Mixer-based subarray beamforming for sub-Nyquist sampling ultrasound architectures (2015) (2)
Reconstruction of sparse sub-wavelength images (2010) (2)
Compressed Fourier-Domain Convolutional Beamforming for Sub-Nyquist Ultrasound Imaging (2021) (2)
Cyclic spectrum reconstruction from sub-Nyquist samples (2014) (2)
Deep Algorithm Unrolling for Biomedical Imaging (2021) (2)
Subspace Detection from Structured Union of Subspaces via Linear Sampling (2013) (2)
Sparse Convolutional Beamforming for 3-D Ultrafast Ultrasound Imaging (2020) (2)
Sparsity-based super-resolution microscopy from correlation information: erratum. (2018) (2)
Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers (2020) (2)
High-Order Cumulants Based Sparse Array Design Via Fractal Geometries—Part II: Robustness and Mutual Coupling (2023) (2)
Task-Based Analog-to-Digital Converters for Bandlimited Systems (2021) (2)
Compressed Ultrasound Imaging: From Sub-Nyquist Rates to Super Resolution (2021) (2)
Performance bounds for the estimation of finite rate of innovation signals from noisy measurements (2010) (2)
Power-Efficient Cameras Using Natural Image Statistics (2016) (2)
Capacity Bounds for One-Bit MIMO Gaussian Channels With Analog Combining (2022) (2)
SemiFL: Semi-Federated Learning Empowered by Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (2022) (2)
Deep Learning for Ultrasound Beamforming (2021) (2)
Sampling of pulse streams: Achieving the rate of innovation (2010) (2)
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing (2018) (2)
Time-Based Quantization for FRI and Bandlimited signals (2021) (2)
Uniqueness and Robustness of Tem-Based FRI Sampling (2022) (2)
Automotive Radar Interference Mitigation with Unfolded Robust PCA based on Residual Overcomplete Auto-Encoder Blocks (2020) (2)
Sub-Nyquist collocated MIMO radar in time and space (2016) (2)
Spatially resolved sub-Nyquist sensing of multiband signals with arbitrary antenna arrays (2016) (2)
Federated Learning from Heterogeneous Data via Controlled Bayesian Air Aggregation (2023) (2)
Nonuniform sampling in polar coordinates with applications to computerized tomography (2004) (2)
Real-time change detection of steady-state evoked potentials (2013) (2)
Joint Multicontrast MRI Reconstruction (2017) (2)
Fast and background free super-resolution ultrasound angiography (2017) (2)
Uniformly robust mean-squared error beamforming (2004) (2)
Sub-Nyquist power spectrum reconstruction and support detection for cognitive radios (2013) (2)
The ReMBo algorithm: Accelerated recovery of jointly sparse vectors (2008) (2)
Using mutual information for designing the measurement matrix in phase retrieval problems (2017) (2)
Deep Task-Based Analog-to-Digital Conversion (2022) (2)
Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization (2022) (2)
REST: Robust lEarned Shrinkage-Thresholding Network Taming Inverse Problems with Model Mismatch (2021) (2)
Super-Resolution Ultrasound Imaging of Vascular Structures with High Temporal Resolution (2016) (2)
Extended Successive Convex Approximation for Phase Retrieval With Dictionary Learning (2021) (2)
An efficient method for demosaicing (2004) (2)
High-Order Cumulants Based Sparse Array Design Via Fractal Geometries—Part I: Structures and DOFs (2023) (2)
Revealing true coupling strengths in two-dimensional spectroscopy with sparsity-based signal recovery (2017) (2)
Frequency Agile Radar Using Atomic Norm Soft Thresholding with Modulations (2019) (2)
Average Case Analysis of Multichannel Basis Pursuit (2010) (2)
Constructing signals with prescribed properties (2003) (2)
Vector uniform Cramer-Rao lower bound (2004) (2)
Multiuser precoders for fixed receivers (2004) (2)
Phase retrieval using a conjugate symmetric reference (2017) (2)
Sparsity-based super-resolution optical fluctuation imaging (2016) (2)
Range-Doppler Decoupling and Interference Mitigation using Cognitive Random Sparse Stepped Frequency Radar (2020) (2)
Sub-Nyquist spectrum sensing and learning challenge (2021) (2)
Quantum state tomography with a single observable (2017) (2)
Single-shot sparsity-based sub-wavelength fluorescence imaging of biological structures using dictionary learning (2015) (2)
Cyclostationary detection from sub-Nyquist samples for Cognitive Radios: Model reconciliation (2013) (2)
Optimal number of measurements for compressed sensing with quadratically decreasing SNR (2017) (2)
Minimax sampling with arbitrary spaces [signal sampling and reconstruction] (2004) (2)
Graph Signal Sampling Under Stochastic Priors (2022) (2)
Xampling-enabled coexistence in spectrally crowded environments (2017) (2)
Deep Unrolled Recovery in Sparse Biological Imaging (2021) (2)
Transmit Beamforming with Fixed Covariance for Integrated MIMO Radar and Multiuser Communications (2022) (2)
CoBAAF: Controlled Bayesian Air Aggregation Federated Learning from Heterogeneous Data (2022) (2)
Weak measurements compressed sensing quantum state tomography (2016) (2)
Least-squares orthogonalization using semidefinite programming (2006) (2)
Multimodal Unrolled Robust PCA for Background Foreground Separation (2021) (2)
Cramer-Rao Bound for Finite Streams of an Arbitrary Number of Pulses (2014) (2)
Estimation in Autoregressive Processes with Partial Observations : Proofs (2016) (2)
Optimal sampling structure for asynchronous multi-access channels (2012) (2)
Compressed Sensing: Preface (2012) (2)
Unitary Approximate Message Passing for Matrix Factorization (2022) (2)
Theoretical Analysis of Multi-Carrier Agile Phased Array Radar (2020) (2)
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover (2021) (1)
Hardware prototype demonstration of a cognitive radar with sparse array antennas (2020) (1)
Learning Filter-Based Compressed Blind-Deconvolution (2022) (1)
Covariance shaping approach to linear least-squares estimation (2002) (1)
Tolerant compressed sensing with partially coherent sensing matrices (2016) (1)
Structure-based super-resolution in quantum information (2013) (1)
MSE BOUNDS DOMINATING THE CRAM (2005) (1)
Universal lower bounds on sampling rates for covariance estimation (2015) (1)
GSURS: Generalized sparse uniform resampling with application to MRI (2015) (1)
The vector hybrid Wiener filter: Application to super-resolution (2009) (1)
1 Introduction to compressed sensing (2011) (1)
Deep Unfolding for Non-negative Matrix Factorization with Application to Mutational Signature Analysis (2021) (1)
Uniform Linear Array Based Spectrum Sensing from Sub-Nyquist Samples (2014) (1)
Finite rate of innovation sampling (2014) (1)
MSE estimation of multichannel signals with model uncertainties (2005) (1)
A Bayesian Estimation Bound based on the Optimal Bias Function (2007) (1)
The SPURS Algorithm for Resampling an Irregularly Sampled Signal onto a Cartesian Grid. (2016) (1)
Blind Compressed Sensing: Theory (2010) (1)
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization (2021) (1)
Exceeding the inherent resolution limit of photo-detectors in pulse-shape measurements by implementing sparseness-based algorithms (2010) (1)
CNN-Based Cognitive Radar Array Selection (2019) (1)
Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding (2019) (1)
RECONSTRUCTION FROM FINITELY MANY SAMPLES IN THE PRESENCE OF NOISE (2005) (1)
Single-shot ptychography & sparsity-based subwavelength ptychography (2015) (1)
Moving Target Imaging for Synthetic Aperture Radar Via RPCA (2021) (1)
Covariance shaping multiuser detection (2003) (1)
Convex Optimization in Signal Processing and Communications: List of contributors (2009) (1)
Enhancement of Color Images By E-cient Demosaicing (2004) (1)
Near-Field Sparse Channel Representation and Estimation in 6G Wireless Communications (2022) (1)
Experimental demonstration of sparsity-based single-shot fluorescence imaging at sub-wavelength resolution (2017) (1)
A Hardware Prototype of Wideband High-Dynamic Range ADC (2023) (1)
Live demonstration: MWC for real-time application (2011) (1)
Subspace Estimation from Incomplete Observations: A Precise High-Dimensional Analysis (2017) (1)
Time-Varying Graph Signal Inpainting Via Unrolling Networks (2021) (1)
A Joint Radar-Communication Precoding Design Based on Cramér-Rao Bound Optimization (2022) (1)
Sparsity Based Non-Contact Vital Signs Monitoring of Multiple People Via FMCW Radar (2022) (1)
Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems (2020) (1)
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering (2022) (1)
A review of nonlinearities , smoothness , and sparsity ] (2009) (1)
Improving techniques for diagnostics of laser pulses by compact representations. (2019) (1)
Dynamic Metasurfaces for Massive MIMO Networks (2019) (1)
Joint Resource Management and Model Compression for Wireless Federated Learning (2021) (1)
Phase Transition in Frequency Agile Radar Using Compressed Sensing (2020) (1)
eSampling: Energy Harvesting ADCs (2020) (1)
Total Variation Iterative Linear Expansion of Thresholds with Applications in CT (2018) (1)
Approximating Representation Coefficients From Non Ideal Samples (2006) (1)
Sparsity-based super-resolution in instruments for diagnostics of short pulses (2013) (1)
Phase Retrieval of Low-Rank Matrices by Anchored Regression (2019) (1)
Detection with phaseless measurements (2016) (1)
Secrecy Analysis for MISO Broadcast Systems with Regularized Zero-Forcing Precoding (2023) (1)
Optimizing Federated Averaging over Fading Channels (2022) (1)
Grating-enhanced coherent imaging (2011) (1)
COMPRESSED 3 D ULTRASOUND IMAGING WITH 2 D ARRAYS (2013) (1)
Backing off from Infinity: Tight Performance Bounds for Large Random Vector Channels (2013) (1)
Nonlinear Waveform Inversion for Quantitative Ultrasound (2022) (1)
Graph Signal Compression by Joint Quantization and Sampling (2022) (1)
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis (2022) (1)
Information rates of sampled Wiener processes (2016) (1)
Sampling Theory: Introduction (2015) (1)
Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing (2022) (1)
Modulo Sampling of FRI Signals (2022) (1)
Robust deconvolution of noisy signals (2005) (1)
Neural Greedy Pursuit for Feature Selection (2022) (1)
RAPToR: A Resampling Algorithm for Pseudo-Polar based Tomographic Reconstruction (2017) (1)
Causal signal recovery from U-invariant samples (2011) (1)
Fundamental Estimation in Autoregressive Processes with Compressive Measurements : Proofs (2017) (1)
Learning to Sample for Sparse Signals (2022) (1)
Hardware Implementation of Task-based Quantization in Multi-user Signal Recovery (2023) (1)
Cramér-Rao Bound for finite streams of pulses (2014) (1)
DURAS: Deep Unfolded Radar Sensing Using Doppler Focusing (2021) (1)
Deep Proximal Learning for High-Resolution Plane Wave Compounding (2021) (1)
System Identification from Partial Samples : Proofs (2016) (1)
Multi-Carrier Agile Phased Array Radar (2020) (1)
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning (2022) (1)
Transmit Precoding for Dual-Function Radar-Communication Systems (2021) (1)
Optimal Number of Measurements in a Linear System With Quadratically Decreasing SNR (2019) (1)
Union of subspaces (2014) (1)
Energy Harvesting via Analog-to-Digital Conversion (2021) (1)
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers (2022) (1)
Complex Network Information Exchange in Random Wireless Environments (2012) (1)
Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods (2022) (1)
LSPARCOM: deep unfolded super-resolution microscopy (2020) (1)
Super-resolution photoacoustic and ultrasound imaging with sparse arrays (2020) (1)
An ADMM-Net for Data Recovery in Wireless Sensor Networks (2021) (1)
Integrated sensing and full-duplex communication: Joint transceiver beamforming and power allocation (2023) (1)
A Sequence-Based Compressed Sensing Receiver for Impulsive Frequency Shift Keying (2022) (1)
Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers (2022) (1)
Uncertainty relations and sparse decompositions of analog signals (2008) (1)
Communication-Efficient Distributed Learning: An Overview (2023) (1)
MSE bounds dominating the cramer-RAO bound (2005) (1)
Motion blur removal in nonlinear sensors (2010) (1)
On signal representation from generalized samples: Minmax approximation with constraints (2006) (1)
PEAR: PEriodic and ApeRiodic signal separation for fast FMRI (2017) (1)
Compressed IF-TEM: Time Encoding Analog-To-Digital Compression (2022) (1)
Soft-Sign Stochastic Gradient Descent Algorithm for Wireless Federated Learning (2021) (1)
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems (2023) (1)
Robust Task-Specific Beamforming with Low-Resolution ADCs for Power-Efficient Hybrid MIMO Receivers (2022) (1)
Task-Based Graph Signal Compression (2021) (1)
Sparse Doppler Sensing (2017) (1)
An Industry and Government Perspective on Challenges and Open Problems in Signal Processing [SP Forum] (2019) (1)
Low rank phase retrieval (2017) (1)
Correction to "On the Asymptotic Performance of the Decorrelator" and "An Optimal Whitening Approach to Linear Multiuser Detection" (2005) (1)
Average Case Analysis of Compressive Multichannel Frequency Estimation Using Atomic Norm Minimization (2018) (1)
Minimax regret estimation in linear models (2004) (0)
Book Digest (1977) (0)
Minimax subspace sampling in the presence of noise (2005) (0)
Sampling over shift-invariant unions (2014) (0)
AN L 1 METHOD FOR BANDLIMITING DISCRETE-TIME SIGNALS (2005) (0)
Non-convex Phase Retrieval of Low-Rank Matrix Columns (2016) (0)
Sparsity-based Recovery of Quantum States From Partial Measurements in a Single Setup (2014) (0)
Super-Resolved Imaging of Early-Stage Dynamics in the Immune Response (2021) (0)
Learning Minimum Variance Unbiased Estimators (2022) (0)
Laplacian pyramid based data fusion for high resolution dynamic MRI (2018) (0)
Multipath medium identification using efficient sampling schemes (2009) (0)
cSPARCOM: Multi-detector reconstruction by confocal super-resolution correlation microscopy. (2021) (0)
110 11051 – Sparse Representations and Efficient Sensing of Data 2 Table of Contents Executive Summary (2011) (0)
Tensor Robust Principal Component Analysis From Multilevel Quantized Observations (2023) (0)
Erratum: "Reference-based MRI" [Med. Phys. Vol 43, Issue 10, pages 5357-5369, October 2016]. (2017) (0)
Multiuser precoders for Þ xed receivers (2004) (0)
Analog Devices National Instruments Maxim Texas Instruments State ‐ of ‐ the ‐ art Nyquist ADCs (2009) (0)
Generalized Semi-Perforated Stent Graft for the Aortic Arch : A Solution for Aortic Arch Aneurysms and Dissections (2017) (0)
Designing and using prior data in Ankylography: Recovering a 3D object from a single diffraction intensity pattern (2012) (0)
Recovering Signals from their FROG Trace (2018) (0)
THE DESIGN OF OPTIMAL L1 LINEAR PHASE FIR DIGITAL FILTERS (2006) (0)
Ultrasound Signal Processing: From Models to Deep Learning (2022) (0)
Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051) (2011) (0)
Minimax Regression with Bounded Noise (2006) (0)
Learning-based Reconstruction of FRI Signals (2022) (0)
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation (2022) (0)
Batch-Iterative Channel Equalization (2000) (0)
Sparse Phase Retrieval from Short-Time (2015) (0)
Quantum detection with uncertain states (11 pages) (2005) (0)
RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments (2022) (0)
High-Dynamic Range ADC for Finite-Rate-of-Innovation Signals (2023) (0)
STRUCTURED GROUP FRAMES (2003) (0)
1 Model-Based Machine Learning for Communications (2021) (0)
Introduction to Information Theory and Data Science. (2021) (0)
Reduced-dimension multiuser detection: detectors and performance guarantees (2011) (0)
Guest Editorial Communication-Efficient Distributed Learning Over Networks (2023) (0)
Sub-Nyquist Cognitive Radio System (2014) (0)
Finite linear algebra (2014) (0)
Non-Asymptotic Analysis of Random Vector Channels (2013) (0)
Reconstruction de forme d'onde d'intensité à partir d'une autocorrélation d'intensité (2016) (0)
Heterogeneous and opportunistic wireless networks (2012) (0)
Sampling Theory: Smoothness priors (2015) (0)
Dominating and Admissible Mse-Bounds Using Saddle-Point Methods (2006) (0)
Transforms (2018) (0)
Towards a performance bound on MIMO DFRC systems (2022) (0)
Sub-NYQUIST Multichannel Blind Deconvolution (2021) (0)
Image Denoising with Deep Unfolding And Normalizing Flows (2022) (0)
A Hardware Prototype of Sub-Nyquist Radar With Distorted Pulse Shape (2020) (0)
Robust peak distortion equalization (2004) (0)
Hardware Prototype of a Time-Encoding Sub-Nyquist ADC (2023) (0)
Signal recovery in shift-invariant spaces from partial frequency data (2011) (0)
Shannon meets Nyquist: The interplay between capacity and sampling (2011) (0)
Sparsity-based approach for 3D super-resolution microscopy from correlation information of high emitter-density frames (2021) (0)
Guest Editorial Distributed Signal Processing for Edge Learning in B5G IoT Networks (2023) (0)
Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks (2022) (0)
25 Years of Signal Processing Advances for Multiantenna Communications (2023) (0)
Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging (2023) (0)
Photon Loss Effect on (N-1)-fold Correlations of N-photon Quantum States (2017) (0)
GENERALIZED SAMPLING WITH STRUCTURAL CONSTRAINTS (2005) (0)
Hyper-Parameter Auto-Tuning for Sparse Bayesian Learning (2022) (0)
1 Introduction to Information Theory and Data Science (2020) (0)
Super-resolution photoacoustic imaging with a sparse array (Conference Presentation) (2019) (0)
1 Quantized Federated Learning (2021) (0)
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture (2022) (0)
Guest Editorial Special Issue on Sparsity Driven Methods in Medical Ultrasound (2018) (0)
Hardware-Limited Non-Uniform Task-Based Quantizers (2023) (0)
OVERSAMPLING OF THE GENERALIZED MULTIWINDOW GABOR SPACE (2005) (0)
Near-field Localization with Dynamic Metasurface Antennas (2022) (0)
Sparsity-based Ankylography: Recovering 3D structures from a single-shot 2D scattered intensity (2014) (0)
Interception Probability Versus Capacity in Wideband Systems: The Benefits of Peaky Signaling (2023) (0)
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks (2022) (0)
Optimal squared-error signal recovery from nonideal samples (2005) (0)
Multi-Functional Reconfigurable Intelligent Surface (2023) (0)
High Accurate Detection Method for Aortic Valve Opening of Seismocardiography Signals (2022) (0)
A hardware prototype of sub‐Nyquist radar with unknown pulses (2021) (0)
Sampling Theory: Nonlinear sampling (2015) (0)
Approaching the capacity of sampled analog channels (2011) (0)
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM (2022) (0)
Task-Based Quantization for Massive MIMO Channel Estimation (2019) (0)
Unambiguous quantum state discrimination and the equal probability measurement (2003) (0)
WINDOW: Wideband Demodulator for Optical Waveforms (2016) (0)
RTSNet: Learning to Smooth in Partially Known State-Space Models (2021) (0)
Statistical model-based evaluation of neural networks (2020) (0)
FRI-based Sub-Nyquist Sampling and Beamforming in Ultrasound and Radar (2013) (0)
HIGH RATE RECONSTRUCTION OF RANDOM SIGNALS FROM GENERALIZED SAMPLES SampTA 2007 – June 1-5 , 2007 , Thessaloniki , Greece (2007) (0)
Hardware Demonstration of a Scalable Cognitive Sparse Array (2020) (0)
Analog Compressed Sensing for Sparse Frequency Shift Keying Modulation Schemes (2022) (0)
Wideband demodulator for optical waveforms (2016) (0)
1 Deep learning for ultrasound beamforming (2021) (0)
Real-time change detection of steady-state evoked potentials (2012) (0)
MSE-ratio regret estimation with bounded data uncertainties (2004) (0)
Low rank magnetic resonance fingerprinting. (2016) (0)
Introduction to linear algebra (2014) (0)
Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding (2022) (0)
Rebuttal to "Comments on covariance shaping least-squares estimation" (2004) (0)
The Design of Optimal L>inf /inf (2006) (0)
Tracking Sparse Movement from Fourier Intensity Measurements (2012) (0)
Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems (2023) (0)
A minimax approach for mean square denoising (2005) (0)
Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas (2022) (0)
Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound (2022) (0)
Signal recovery from low frequency components (2010) (0)
A Framework for Integrating Domain Knowledge into Deep Networks for Lung Ultrasound, and its Applications to COVID-19 (2021) (0)
Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System (2023) (0)
Towards Sub-Nyquist Doppler Ultrasound Imaging Using Non-Uniformly Spaced Stream of Pulses (2015) (0)
Fast communication Orthogonal multiuser detection (2002) (0)
Sparse Non-Contact Multiple People Localization and Vital Signs Monitoring Via FMCW Radar (2023) (0)
Undersampled Phase Retrieval with Outliers : Supplementary Material (2015) (0)
Mathematical Foundations of AIM (2021) (0)
Semi-Federated Learning for Edge Intelligence with Imperfect SIC (2023) (0)
Editorial: Intelligent Signal Analysis for Contagious Virus Diseases (2022) (0)
xxxiii Competitive Mean-Squared Error Beamforming (2004) (0)
Optimization Techniques inWireless Communications (2009) (0)
I T ] 1 9 Ju l 2 01 1 GPS Signal Acquisition via Compressive Multichannel Sampling (2011) (0)
HaTU-Net: Harmonic Attention Network for Automated Ovarian Ultrasound Quantification in Assisted Pregnancy (2022) (0)
Complex networks of interacting solitons: Noise-enhanced memory and self-synchronization (2008) (0)
Statistical aspects of the chebyshev center estimate (2008) (0)
The Global Optimization Geometry of Shallow Linear Neural Networks (2019) (0)
State Estimation and Prediction Based on Dynamic Spike Train Decoding : Noise , Adaptation , and Multisensory Integration (2008) (0)
Decentralized high‐resolution direction finding in partly calibrated arrays (2023) (0)
Single-pulse two-dimensional Raman spectroscopy (2015) (0)
Guest Editorial Special Issue on Integrated Sensing and Communication - Part I (2022) (0)
Recovering Lost Information in the Digital World (2018) (0)
Distributed compressed sensing in dynamic networks (2013) (0)
List of Abstracts ( 1 ) Barcoded Personalized Cancer Medicine Using Signal Processing (2018) (0)
The ultimate limits of wireless networks (2012) (0)
Abstracts of the 16th Annual Meeting of The Israel Society for Neuroscience Eilat, Israel, November 25–27, 2007 (2008) (0)
AI-Empowered Hybrid MIMO Beamforming (2023) (0)
Generalization and Estimation Error Bounds for Model-based Neural Networks (2023) (0)
Structure-Based Super-Resolution Recovery of Three-Photon Quantum States from Two-Fold Coincidences (2014) (0)
Nouveaux noyaux pour l’échantillonnage de signaux impulsionnels à bande non-limitée (2015) (0)
Graph Signaling Denoising via Unrolling Networks /Author=Chen, Siheng; Eldar, Yonina /CreationDate=June 8, 2021 /Subject=Artificial Intelligence, Machine Learning, Signal Processing (2021) (0)
Super-resolution of images using incoherent light (2010) (0)
Detecting Bone Lesions in X-Ray Under Diverse Acquisition Conditions (2022) (0)
FORMATION DE FAISCEAUX À SIGNAUX CODÉS DANS LE DOMAINE FRÉQUENTIEL (2018) (0)
Sparsity based super-resolution in optical measurements (2013) (0)
Correlation based Super-resolution in Optical and Ultrasound Imaging (2017) (0)
On the Acquisition of Stationary Signals Using Uniform ADCS (2022) (0)
Ju n 20 14 PERFORMANCE LIMITS OF DICTIONARY LEARNING FOR SPARSE CODIN G (2021) (0)
Phase Retrieval of Vortices in Bose-Einstein Condensates (2021) (0)
An Information-Theoretic Approach to Analog-to-Digital Compression (2021) (0)
Phase Retrieval in Optical Imaging (2017) (0)
List of Abstracts ( 1 ) Barcoded Personalized Cancer Medicine Using Signal Processing (2018) (0)
OptimalGeneralizedInversesforZero Forcing Precoding (2007) (0)
Quantum s tate t omography with a s ingle measurement setup : supplementary material (2017) (0)
Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs (2021) (0)
Sampling Theory: Multiband sampling (2015) (0)
On the Capacity of Sampled Interference-Limited Communications Channels (2019) (0)
A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation (2021) (0)
KalmanNet: Neural Network Aided Kalman Filtering for Non-Linear Dynamics with Partial Domain Knowledge (2021) (0)
Quadratic compressed sensing in a waveguide array (2013) (0)
Optimization-based recovery from rate of innovation samples (2012) (0)
Optimization-Based Decoding of Imaging Spatial Transcriptomics Data (2022) (0)
Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding (2023) (0)
Partially Linear Estimation with Application to Image Deblurring Using Blurred/Noisy Image Pairs (2012) (0)
Robust linear estimation with covariance uncertainties (2004) (0)
Spiking Sparse Recovery With Non-Convex Penalties (2022) (0)
Adaptive Time-Channel Beamforming for Time-of-Flight Correction (2021) (0)
Performance tradeoffs between adaptive beamforming criteria (2007) (0)
SUPER-RESOLUTION USING MASKS (2016) (0)
On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing (2020) (0)
UNCERTAINTYRELATIONS AND SPARSE DECOMPOSITIONSOF ANALOG SIGNALS (2008) (0)
Partially Linear Bayesian Estimation with Application to Sparse Approximations (2011) (0)
Super-resolution Using Flow Estimation in Contrast Enhanced Ultrasound Imaging (2019) (0)
Lasso-Based Fast Residual Recovery For Modulo Sampling (2023) (0)
Signal Processing for DNA sequencing Sponsors Project Staff (2001) (0)
Spatial-temporal plane-wave image formation with Sparse Uniform ReSampling (2017) (0)
A minimax approach to Bayesian estimation with partial knowledge of the observation model (2010) (0)
2018 IEEE International Symposium on Information Theory, ISIT 2018, Vail, CO, USA, June 17-22, 2018 (2018) (0)
Sparsity-Based Multi-Person Non-Contact Vital Signs Monitoring Via FMCW Radar. (2023) (0)
Reconstructing Sub-Wavelength Features from the Optical Far-Field of Sparse Images (2010) (0)
On the Capacity of Channels with Sampled Cyclostationary Gaussian Noise (2019) (0)
Geolocation with Graph-Based Model Fitting (2019) (0)
Towards Ultrafast Subwavelength Microscopy (2016) (0)
Pseudo-polar reconstruction for tomography (2017) (0)
Quantum State Tomography in a Single Setup, with a Single Observable (2017) (0)
Guest Editorial Special Issue on Integrated Sensing and Communication - Part II (2022) (0)
Sampling over finite unions (2015) (0)
Linear transmitter design for the MISO compound channel with interference (2006) (0)
Compressed Sensing: Frontmatter (2012) (0)
BEAMFORMING MAXIMIZES THE MISO COMPOUND CAPACITY (2005) (0)

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