Ali H. Sayed

Q: What Schools Are Affiliated With Ali H. Sayed

Ali H. Sayed is affiliated with the following schools: École Polytechnique Fédérale de Lausanne, University of California, Los Angeles, Federal University of Rio de Janeiro, Stanford University, University of São Paulo

Ali H. Sayed's AcademicInfluence.com Rankings

Ali H. Sayed

Engineering

#271

World Rank

#501

Historical Rank

Electrical Engineering

#40

World Rank

#49

Historical Rank

Applied Physics

#148

World Rank

#157

Historical Rank

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Engineering

Ali H. Sayed's Degrees

PhD Electrical Engineering Stanford University
Masters Electrical Engineering Stanford University
Bachelors Electrical Engineering Federal University of Rio de Janeiro

Why Is Ali H. Sayed Influential?

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According to Wikipedia, Ali H. Sayed is the dean of engineering at EPFL , where he teaches and conducts research on Adaptation, Learning, Statistical Signal Processing, and Signal Processing for Communications. He is the Director of the EPFL Adaptive Systems Laboratory. He has authored several books on estimation and filtering theories, including the textbook Adaptive Filters, published by Wiley & Sons in 2008. Professor Sayed received the degrees of Engineer and Master of Science in Electrical Engineering from the University of Sao Paulo, Brazil, in 1987 and 1989, respectively, and the Doctor of Philosophy degree in electrical engineering from Stanford University in 1992.

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Ali H. Sayed'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

Network-based wireless location: challenges faced in developing techniques for accurate wireless location information (2005) (1296)
Fundamentals Of Adaptive Filtering (2003) (1222)
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks (2008) (1108)
Diffusion LMS Strategies for Distributed Estimation (2010) (1023)
Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis (2008) (995)
Adaptive Filters (2008) (851)
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels (2007) (822)
Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks (2008) (759)
Diffusion Strategies for Distributed Kalman Filtering and Smoothing (2010) (706)
Incremental Adaptive Strategies Over Distributed Networks (2007) (690)
Adaptation, Learning, and Optimization over Networks (2014) (617)
Adaptive Networks (2014) (587)
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks (2011) (571)
Diffusion recursive least-squares for distributed estimation over adaptive networks (2008) (562)
Variable step-size NLMS and affine projection algorithms (2004) (547)
Linear Estimation (Information and System Sciences Series) (2000) (490)
Multi-input multi-output fading channel tracking and equalization using Kalman estimation (2002) (480)
A state-space approach to adaptive RLS filtering (1994) (476)
Indefinite-quadratic estimation and control: a unified approach to H 2 and H ∞ theories (1999) (453)
Displacement Structure: Theory and Applications (1995) (449)
Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior (2013) (437)
Collaborative wideband sensing for cognitive radios (2008) (415)
Mean-square performance of a convex combination of two adaptive filters (2006) (413)
Diffusion Adaptation over Networks (2012) (397)
Diffusion Strategies Outperform Consensus Strategies for Distributed Estimation Over Adaptive Networks (2012) (388)
The finite-length multi-input multi-output MMSE-DFE (2000) (354)
Compensation schemes and performance analysis of IQ imbalances in OFDM receivers (2005) (349)
Mean-square performance of a family of affine projection algorithms (2004) (337)
A framework for state-space estimation with uncertain models (2001) (335)
Fast reliable algorithms for matrices with structure (1999) (317)
Multiuser Two-Way Amplify-and-Forward Relay Processing and Power Control Methods for Beamforming Systems (2010) (300)
Network-based wireless location (2005) (295)
A survey of spectral factorization methods (2001) (285)
Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis (2010) (278)
A unified approach to the steady-state and tracking analyses of adaptive filters (2001) (275)
H∞ optimality of the LMS algorithm (1996) (245)
Adaptive tracking of linear time-variant systems by extended RLS algorithms (1997) (236)
Active Antenna Selection in Multiuser MIMO Communications (2007) (216)
Multitask Diffusion Adaptation Over Networks (2013) (216)
Sparse Distributed Learning Based on Diffusion Adaptation (2012) (206)
A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios (2005) (206)
Foundations and Trends ® in Machine Learning > Vol 7 > Issue 4-5 Ordering Info About Us Alerts Contact Help Log in Adaptation , Learning , and Optimization over Networks (2011) (204)
Linear estimation in Krein spaces. II. Applications (1996) (203)
Distributed MMSE Relay Strategies for Wireless Sensor Networks (2007) (185)
Diffusion LMS Over Multitask Networks (2014) (180)
Linear estimation in Krein spaces. I. Theory (1996) (177)
Parameter Estimation in the Presence of Bounded Data Uncertainties (1998) (176)
Distributed Detection Over Adaptive Networks Using Diffusion Adaptation (2011) (173)
Distributed Estimation Over an Adaptive Incremental Network Based on the Affine Projection Algorithm (2010) (170)
Mobile Adaptive Networks (2011) (167)
Distributed Pareto Optimization via Diffusion Strategies (2012) (162)
Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data (2011) (157)
Transient analysis of data-normalized adaptive filters (2003) (156)
Distributed Recursive Least-Squares Strategies Over Adaptive Networks (2006) (155)
MIMO OFDM receivers for Systems with IQ imbalances (2005) (154)
Modeling Bird Flight Formations Using Diffusion Adaptation (2011) (154)
Coherent optical MIMO (COMIMO) (2005) (154)
Compensation of Phase Noise in OFDM Wireless Systems (2007) (146)
Transient analysis of adaptive filters with error nonlinearities (2003) (143)
Performance Limits for Distributed Estimation Over LMS Adaptive Networks (2012) (141)
Exact Diffusion for Distributed Optimization and Learning—Part I: Algorithm Development (2017) (141)
Cooperative Sensing via Sequential Detection (2010) (141)
Linear Estimation in Krein Spaces - Part I: Theory (1996) (140)
A time-domain feedback analysis of filtered-error adaptive gradient algorithms (1996) (137)
Wideband Spectrum Sensing in Cognitive Radio Networks (2008) (131)
Joint compensation of transmitter and receiver impairments in OFDM systems (2007) (130)
On the Learning Behavior of Adaptive Networks—Part I: Transient Analysis (2013) (126)
Adaptive Processing over Distributed Networks (2007) (117)
Distributed processing over adaptive networks (2007) (117)
Analysis of Spatial and Incremental LMS Processing for Distributed Estimation (2011) (115)
Diffusion Least-Mean Squares Over Adaptive Networks (2007) (111)
A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers (2000) (110)
Diffusion strategies for distributed Kalman filtering: formulation and performance analysis (2008) (102)
Combinations of Adaptive Filters: Performance and convergence properties (2021) (101)
Adaptive Filters with Error Nonlinearities: Mean-Square Analysis and Optimum Design (2001) (100)
Decentralized Consensus Optimization With Asynchrony and Delays (2016) (97)
Joint rate and power control algorithms for wireless networks (2005) (96)
Distributed Policy Evaluation Under Multiple Behavior Strategies (2013) (95)
An Optimal Strategy for Cooperative Spectrum Sensing in Cognitive Radio Networks (2007) (94)
Adaptive Penalty-Based Distributed Stochastic Convex Optimization (2013) (93)
Dictionary Learning Over Distributed Models (2014) (90)
Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming (2010) (88)
Distributed Clustering and Learning Over Networks (2014) (87)
Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks (2011) (85)
Distributed Adaptive Incremental Strategies: Formulation and Performance Analysis (2006) (85)
Steady-State MSE Performance Analysis of Mixture Approaches to Adaptive Filtering (2010) (84)
A Regularized Robust Design Criterion for Uncertain Data (2001) (82)
Diffusion adaptive networks with changing topologies (2008) (81)
On the Learning Behavior of Adaptive Networks—Part II: Performance Analysis (2013) (81)
Optimal Spectral Feature Detection for Spectrum Sensing at Very Low SNR (2011) (78)
Clustering via diffusion adaptation over networks (2012) (73)
Fundamentals and challenges of optical multiple-input multiple-output multimode fiber links [Topics in Optical Communications] (2007) (73)
Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks (2013) (71)
Efficient adaptive receivers for joint equalization and interference cancellation in multiuser space-time block-coded systems (2003) (71)
Asynchronous Adaptation and Learning Over Networks—Part I: Modeling and Stability Analysis (2013) (70)
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems (2016) (69)
Extended Chandrasekhar recursions (1994) (68)
Exact Diffusion for Distributed Optimization and Learning—Part II: Convergence Analysis (2017) (67)
Capacity enhancement in coherent optical MIMO (COMIMO) multimode fiber links (2006) (66)
Robust FxLMS algorithms with improved convergence performance (1998) (61)
Decentralized Proximal Gradient Algorithms With Linear Convergence Rates (2019) (60)
An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals (2011) (60)
Steady-State Performance Analysis of a Variable Tap-Length LMS Algorithm (2008) (59)
Error-energy bounds for adaptive gradient algorithms (1996) (58)
Optimal combination rules for adaptation and learning over networks (2011) (58)
Diffusion distributed Kalman filtering with adaptive weights (2009) (57)
A diffusion rls scheme for distributed estimation over adaptive networks (2007) (56)
Stabilizing the Generalized Schur Algorithm (1996) (55)
Time-domain feedback analysis of adaptive gradient algorithms via the small gain theorem (1995) (55)
Multiobjective filter design for uncertain stochastic time-delay systems (2004) (55)
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization (2015) (55)
Mean-square performance of data-reusing adaptive algorithms (2005) (53)
Multitask Diffusion Adaptation Over Asynchronous Networks (2014) (53)
Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation (2013) (52)
Spectrum Sensing by Cognitive Radios at Very Low SNR (2009) (51)
Variance-Reduced Stochastic Learning by Networked Agents Under Random Reshuffling (2017) (51)
Distributed nonlinear Kalman filtering with applications to wireless localization (2010) (50)
A Stable and Efficient Algorithm for the Indefinite Linear Least-Squares Problem (1999) (50)
A Fast Stable Solver for Nonsymmetric Toeplitz and Quasi-Toeplitz Systems of Linear Equations (1998) (49)
Joint compensation of IQ imbalance and phase noise in OFDM wireless systems (2009) (49)
Digital Compensation of Cross-Modulation Distortion in Software-Defined Radios (2009) (49)
ESTIMATION AND CONTROL WITH BOUNDED DATA UNCERTAINTIES (1998) (48)
Stability and Performance Limits of Adaptive Primal-Dual Networks (2014) (48)
Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm (2015) (47)
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization (2019) (47)
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning (2020) (47)
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints (2016) (46)
Self-organization in bird flight formations using diffusion adaptation (2009) (46)
Design criteria for uncertain models with structured and unstructured uncertainties (1998) (46)
Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate (2019) (45)
On the influence of momentum acceleration on online learning (2016) (45)
On the learning mechanism of adaptive filters (2000) (45)
Modeling bee swarming behavior through diffusion adaptation with asymmetric information sharing (2012) (45)
Social Learning Over Weakly Connected Graphs (2016) (45)
Learning over social networks via diffusion adaptation (2012) (45)
Performance Analysis of Multiband OFDM UWB Communications With Application to Range Improvement (2007) (45)
Diffusion LMS algorithms with information exchange (2008) (43)
Distributed Learning in Non-Convex Environments— Part II: Polynomial Escape From Saddle-Points (2019) (43)
Multitask Diffusion Adaptation Over Networks With Common Latent Representations (2017) (42)
Distributed Decision-Making Over Adaptive Networks (2013) (42)
Stability and performance analysis of an adaptive sigma-delta modulator (2001) (42)
Spatial-spectral joint detection for wideband spectrum sensing in cognitive radio networks (2008) (42)
Randomized incremental protocols over adaptive networks (2010) (41)
Diffusion LMS for multitask problems with overlapping hypothesis subspaces (2014) (41)
A non-line-of-sight equalization scheme for wireless cellular location (2003) (41)
Diffusion least-mean squares with adaptive combiners (2009) (40)
On the Influence of Bias-Correction on Distributed Stochastic Optimization (2019) (39)
An embedding approach to frequency-domain and subband adaptive filtering (2000) (39)
User Selection Methods for Multiuser Two-Way Relay Communications Using Space Division Multiple Access (2010) (39)
Channel estimation and equalization in fading (1999) (39)
Diffusion-Based Adaptive Distributed Detection: Steady-State Performance in the Slow Adaptation Regime (2014) (39)
LMS is H∞ Optimal (1995) (39)
Fundamentals and challenges of optical multiple-input multiple-output multimode fiber links - eScholarship (2007) (38)
Single-link diffusion strategies over adaptive networks (2012) (38)
A Robust Finger Tracking Method for Multimodal Wearable Computer Interfacing (2006) (37)
Robust Distributed Estimation by Networked Agents (2017) (37)
Revisiting correlation-based functional connectivity and its relationship with structural connectivity (2020) (37)
Cooperative spectrum sensing via sequential detection for cognitive radio networks (2009) (37)
Regularized robust filters for time-varying uncertain discrete-time systems (2004) (37)
Asynchronous Adaptation and Learning Over Networks—Part II: Performance Analysis (2013) (37)
Multiuser two-way relaying method for beamforming systems (2009) (37)
Array algorithms for H∞ estimation (2000) (36)
Distributed Detection Over Adaptive Networks: Refined Asymptotics and the Role of Connectivity (2016) (36)
Robust Adaptation in Impulsive Noise (2016) (36)
Diffusion mechanisms for fixed-point distributed Kalman smoothing (2008) (36)
REACA: An Efficient Protocol Architecture for Large Scale Sensor Networks (2007) (36)
Stable pole-zero modeling of long FIR filters with application to the MMSE-DFE (1997) (36)
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization (2018) (36)
Multi-level diffusion adaptive networks (2009) (35)
Steady state performance of convex combinations of adaptive filters (2005) (35)
Unbiased and stable leakage-based adaptive filters (1999) (35)
Recursive least-squares adaptive filters (1998) (35)
On the Influence of Informed Agents on Learning and Adaptation Over Networks (2012) (34)
On the limiting behavior of distributed optimization strategies (2012) (34)
Ability of adaptive filters to track carrier offsets and channel nonstationarities (2002) (34)
Consistent Tomography Under Partial Observations Over Adaptive Networks (2017) (34)
Foraging behavior of fish schools via diffusion adaptation (2010) (34)
Power Allocation for Beamforming Relay Networks under Channel Uncertainties (2009) (34)
Supervised Learning Under Distributed Features (2018) (33)
Robustness issues in adaptive filtering (1998) (33)
Least mean-phase adaptive filters with application to communications systems (2004) (33)
Robust wireless location over fading channels (2003) (33)
Recursive solutions of rational interpolation problems via fast matrix factorization (1994) (32)
On the convergence of blind adaptive equalizers for constant modulus signals (2000) (32)
A robust power and rate control method for state-delayed wireless networks (2005) (32)
Sparse diffusion LMS for distributed adaptive estimation (2012) (32)
An optimum OFDM receiver exploiting cyclic prefix for improved data estimation (2003) (32)
Diffusion LMS for clustered multitask networks (2013) (32)
Inertia conditions for the minimization of quadratic forms in indefinite metric spaces (1996) (32)
Modified FxLMS algorithms with improved convergence performance (1995) (32)
An Efficient Algorithm for a Bounded Errors-in-Variables Model (1999) (31)
2. Linear Estimation in Krein Spaces (1999) (31)
An invariant matrix structure in multiantenna communications (2005) (30)
On the baseband compensation of IQ imbalances in OFDM systems (2004) (30)
Bacterial motility via diffusion adaptation (2010) (30)
Diffusion LMS over multitask networks with noisy links (2016) (30)
Transient behavior of affine projection algorithms (2003) (30)
A Look-Ahead Block Schur Algorithm for Toeplitz-Like Matrices (1995) (30)
Distributed Diffusion Adaptation Over Graph Signals (2018) (30)
Collaborative learning of mixture models using diffusion adaptation (2011) (29)
TRANSIENT ANALYSIS OF DATANORMALIZED ADAPTIVE FILTERS (2003) (29)
Linear convergence of primal-dual gradient methods and their performance in distributed optimization (2019) (29)
OFDM systems with both transmitter and receiver IQ imbalances (2005) (28)
Variance-Reduced Stochastic Learning Under Random Reshuffling (2017) (28)
Diffusion LMS with communication constraints (2010) (27)
Stochastic Learning Under Random Reshuffling With Constant Step-Sizes (2018) (27)
Displacement structure in signal processing and mathematics (1992) (27)
Improved wireless location accuracy using antenna arrays and interference cancellation (2003) (26)
On distributed online classification in the midst of concept drifts (2013) (26)
Robust finger tracking for wearable computer interfacing (2001) (26)
Adaptive predictive power control for the uplink channel in DS-CDMA cellular systems (2003) (26)
Diffusion LMS strategies for parameter estimation over fading wireless channels (2013) (26)
Fast algorithms for generalized displacement structures (1991) (26)
Adaptive Networks with Noisy Links (2011) (25)
Wireless Location (2004) (25)
Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent, and Landing (2010) (25)
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates (2018) (25)
ONLINE GRAPH LEARNING FROM SEQUENTIAL DATA (2018) (24)
Order-recursive RLS Laguerre adaptive filtering (2000) (24)
Asynchronous Adaptation and Learning Over Networks—Part III: Comparison Analysis (2013) (24)
Excess-Risk of Distributed Stochastic Learners (2013) (24)
Spatio-Temporal Diffusion Strategies for Estimation and Detection Over Networks (2012) (24)
Cooperative prey herding based on diffusion adaptation (2011) (24)
Mean-square analysis of normalized leaky adaptive filters (2001) (23)
Parameter estimation with multiple sources and levels of uncertainties (2000) (23)
A diffusion LMS strategy for parameter estimation in noisy regressor applications (2012) (23)
Information Exchange and Learning Dynamics Over Weakly Connected Adaptive Networks (2014) (23)
The Degenerate Bounded Errors-in-Variables Model (2001) (23)
Interplay Between Topology and Social Learning Over Weak Graphs (2019) (22)
Diffusion Adaptation over Multi-Agent Networks with Wireless Link Impairments (2015) (22)
Stochastic gradient descent with finite samples sizes (2016) (22)
A strategy for adjusting combination weights over adaptive networks (2013) (22)
Elementary transformations (1999) (21)
An l2-stable feedback structure for nonlinear adaptive filtering and identification (1997) (21)
Multitask diffusion LMS with sparsity-based regularization (2015) (21)
Bio-inspired swarming for dynamic radio access based on diffusion adaptation (2011) (21)
Local Tomography of Large Networks Under the Low-Observability Regime (2018) (21)
Optimal Importance Sampling for Federated Learning (2020) (20)
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models (2019) (20)
Distributed detection over adaptive networks based on diffusion estimation schemes (2009) (20)
Transient analysis of adaptive filters (2001) (20)
A distributed broadcasting time-synchronization scheme for wireless sensor networks (2005) (20)
Detection of fading overlapping multipath components for mobile positioning systems (2001) (20)
Hoo Optimality Criteria for LMS and Backpropagation (1993) (20)
Innovations Diffusion: A Spatial Sampling Scheme for Distributed Estimation and Detection (2009) (20)
Digital adaptive phase noise reduction in coherent optical links (2006) (20)
A distributed MMSE relay strategy for wireless sensor networks (2005) (20)
SNAP&TELL: a multi-modal wearable computer interface for browsing the environment (2002) (20)
Decentralized clustering over adaptive networks (2015) (20)
Time-variant displacement structure and triangular arrays (1994) (20)
Adjustment of combination weights over adaptive diffusion networks (2014) (19)
Time-variant displacement structure and interpolation problems (1994) (19)
Sampling clock jitter estimation and compensation in ADC circuits (2010) (19)
Learning Over Multitask Graphs—Part I: Stability Analysis (2018) (19)
Array Algorithms for Estimation (2000) (19)
A high-performance cost-effective pole-zero MMSE-DFE (1993) (19)
Adaptive multi-input multi-output fading channel equalization using Kalman estimation (2000) (19)
Distributed Coupled Multi-Agent Stochastic Optimization (2017) (19)
Extended fast fixed-order RLS adaptive filters (2001) (19)
Design of half- and full-duplex relay systems based on the MMSE formulation (2009) (18)
Estimation and Detection Over Adaptive Networks (2018) (18)
Tracking behavior of mobile adaptive networks (2010) (18)
Bio-inspired cooperative optimization with application to bacteria motility (2011) (18)
Distributed Coupled Multiagent Stochastic Optimization (2017) (18)
Innovations-Based Sampling Over Spatially-Correlated Sensors (2007) (18)
Federated Learning Under Importance Sampling (2020) (17)
Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs (2012) (17)
Diffusion LMS-based distributed detection over adaptive networks (2009) (17)
A new adaptive estimation algorithm for wireless location finding systems (1999) (17)
Robustness of Gauss - Newton recursive methods: A deterministic feedback analysis (1996) (17)
Adaptive Carrier Tracking for Direct-To-Earth Mars Communications (2006) (17)
A state-space approach to adaptive filtering (1993) (17)
Fast triangular factorization of the sum of quasi-Toeplitz and quasi-Hankel matrices (1993) (17)
Information-Sharing Over Adaptive Networks With Self-Interested Agents (2014) (16)
Performance limits of stochastic sub-gradient learning, part II: Multi-agent case (2017) (16)
Supervised learning of perceptron and output feedback dynamic networks: a feedback analysis via the small gain theorem (1997) (16)
Steady-State Performance of Adaptive Diffusion Least-Mean Squares (2007) (16)
Adaptive clustering for multitask diffusion networks (2015) (16)
Detection of fading overlapping multipath components (2006) (16)
Group diffusion LMS (2016) (16)
Affine Combination of Diffusion Strategies Over Networks (2020) (16)
Mobile adaptive networks with self-organization abilities (2010) (16)
Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization (2019) (15)
Displacement Structure and Completion Problems (1995) (15)
Dynamic Federated Learning (2020) (15)
A blind Adaptive Stimulation Artifact Rejection (ASAR) engine for closed-loop implantable neuromodulation systems (2017) (15)
Hierarchical diffusion algorithms for distributed estimation (2009) (15)
Diffusion stochastic optimization with non-smooth regularizers (2016) (15)
Social Learning with Partial Information Sharing (2019) (15)
A computationally-efficient FIR MMSE-DFE for multi-user communications (1999) (15)
A stable adaptive structure for delta modulation with improved performance (2001) (15)
A deconvolution algorithm for estimating jointly the line-of-sight code delay and carrier phase of GNSS signals (2009) (15)
Distributed pareto-optimal solutions via diffusion adaptation (2012) (15)
Diffusion LMS localization and tracking algorithm for wireless cellular networks (2013) (14)
Transient Analysis of Adaptive Affine Combinations (2011) (14)
Efficient Adaptive Carrier Tracking for Mars to Earth Communications During Entry, Descent and Landing (2007) (14)
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis (2019) (14)
Decentralized Clustering and Linking by Networked Agents (2016) (14)
Reputation design for adaptive networks with selfish agents (2013) (14)
Distributed optimization via diffusion adaptation (2011) (14)
Special Issue on Structured and Infinite Systems of Linear Equations (2002) (14)
Online dictionary learning over distributed models (2014) (14)
Adaptive frequency-domain equalization of space-time block-coded transmissions (2002) (14)
Exponential Collapse of Social Beliefs over Weakly-connected Heterogeneous Networks (2019) (14)
A Proximal Diffusion Strategy for Multiagent Optimization With Sparse Affine Constraints (2018) (14)
RLS-Laguerre lattice adaptive filtering: error-feedback, normalized, and array-based algorithms (2001) (14)
Adaptation and Learning Over Networks Under Subspace Constraints—Part II: Performance Analysis (2019) (14)
A uniqueness result concerning a robust regularized least-squares solution (2002) (14)
Inertia properties of indefinite quadratic forms (1996) (13)
Optimal linear fusion for distributed spectrum sensing via semidefinite programming (2009) (13)
A unified approach to the steady-state and tracking analyses of adaptive filtering algorithms (1999) (13)
Diffusion LMS for source and process estimation in sensor networks (2012) (13)
Diffusion networks outperform consensus networks (2012) (13)
On the Performance of Exact Diffusion over Adaptive Networks (2019) (13)
A Spatial Sampling Scheme Based on Innovations Diffusion in Sensor Networks (2007) (13)
Dif-MAML: Decentralized Multi-Agent Meta-Learning (2020) (13)
Coordinate-Descent Diffusion Learning by Networked Agents (2016) (13)
A Preconditioned Graph Diffusion LMS for Adaptive Graph Signal Processing (2018) (13)
A fast‐array Kalman filter solution to active noise control (2005) (13)
Adaptive estimation algorithms over distributed networks (2006) (13)
REACA: An Efficient Protocol Architecture for Large Scale Sensor Networks (Corrected)* (2007) (12)
Efficient algorithms for least squares type problems with bounded uncertainties (1997) (12)
Graph Learning with Partial Observations: Role of Degree Concentration (2019) (12)
Fixed‐point steady‐state analysis of adaptive filters (2003) (12)
An Efficient Carrier Phase Synchronization Technique for High-Order M-QAM–OFDM (2008) (12)
On the stability and convergence of Feintuch's algorithm for adaptive IIR filtering (1995) (12)
Tracking analysis of the LMF and LMMN adaptive algorithms (1999) (12)
Unbiased Model Combinations for Adaptive Filtering (2010) (12)
On the selection of optimal nonlinearities for stochastic gradient adaptive algorithms (2000) (12)
Diffusion Estimation Over Cooperative Multi-Agent Networks With Missing Data (2014) (12)
A Regularization Framework for Learning Over Multitask Graphs (2019) (12)
Clock Jitter Compensation in High-Rate ADC Circuits (2012) (12)
Large deviations analysis of adaptive distributed detection (2014) (12)
On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference (2022) (11)
Performance Analysis and Range Improvement in Multiband-OFDM UWB Communications (2006) (11)
Inverse scattering experiments, structured matrix inequalities, and tensor algebra (2002) (11)
Convergence of Variance-Reduced Stochastic Learning under Random Reshuffling (2017) (11)
Adaptive regularized diffusion adaptation over multitask networks (2015) (11)
CDMA location using multiple antennas and interference cancellation (2003) (11)
Convergence of Variance-Reduced Learning Under Random Reshuffling (2018) (11)
Beam coordination via diffusion adaptation over array networks (2012) (11)
Robust time-delay and amplitude estimation for CDMA location finding (1999) (11)
Fast algorithms for generalized displacement structures and lossless systems (1995) (11)
A Graph Federated Architecture with Privacy Preserving Learning (2021) (11)
Extended fast fixed order RLS adaptive filters (2001) (11)
Proximal diffusion for stochastic costs with non-differentiable regularizers (2015) (11)
Distributed Inference over Networks under Subspace Constraints (2019) (10)
Asymptotic Performance of Adaptive Distributed Detection over Networks (2014) (10)
A feedback analysis of perceptron learning for neural networks (1995) (10)
Learning Over Multitask Graphs—Part II: Performance Analysis (2018) (10)
A graph diffusion LMS strategy for adaptive graph signal processing (2017) (10)
Generalized Chandrasekhar recursions from the generalized Schur algorithm (1994) (10)
Inference and Learning from Data (2022) (10)
Optimum error nonlinearities for long adaptive filters (2002) (10)
Digital Suppression of Spurious PLL Tones in A/D Converters (2011) (10)
Energy Conservation and the Learning Ability of LMS Adaptive Filters (2005) (10)
Combination weights for diffusion strategies with imperfect information exchange (2012) (10)
Consistent Tomography over Diffusion Networks under the Low-Observability Regime (2018) (10)
Structured matrices and fast RLS adaptive filtering (1992) (10)
Asynchronous adaptive networks (2015) (10)
Distributed Value-Function Learning with Linear Convergence Rates (2019) (10)
On the generalization ability of distributed online learners (2012) (10)
Mean-square performance of adaptive filters using averaging theory (2004) (9)
Cooperative spectrum sensing via coherence detection (2009) (9)
Asynchronous diffusion adaptation over networks (2012) (9)
Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates (2018) (9)
Detection Under One-Bit Messaging Over Adaptive Networks (2018) (9)
Joint frequency-domain adaptive equalization and interference cancellation for multi-user space-time block-coded systems (2003) (9)
A unified derivation of square-root multichannel least-squares filtering algorithms (1993) (9)
Cooperative off-policy prediction of Markov decision processes in adaptive networks (2013) (9)
Attaining optimal batch performance via distributed processing over networks (2013) (9)
Performance limits of LMS-based adaptive networks (2011) (9)
Dual Coupled Diffusion for Distributed Optimization with Affine Constraints (2018) (9)
Diffusion Learning in Non-convex Environments (2019) (9)
On the performance of random reshuffling in stochastic learning (2017) (9)
Adaptation and Learning over Complex Networks (2013) (9)
Tomography of Adaptive Multi-Agent Networks Under Limited Observation (2018) (8)
Exact diffusion strategy for optimization by networked agents (2017) (8)
Exploiting spatio-temporal correlation for rate-efficient transmit beamforming (2004) (8)
A minimum variance power control algorithm for wireless networks (2003) (8)
Probability distribution of steady-state errors and adaptation over networks (2011) (8)
Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks (2011) (8)
Exact asymptotics of distributed detection over adaptive networks (2015) (8)
Distributed Inference Over Multitask Graphs Under Smoothness (2018) (8)
Diffusion gradient boosting for networked learning (2017) (8)
A new combined architecture for CDMA location searchers and RAKE receivers (2000) (8)
Decentralized exact coupled optimization (2017) (8)
DIVIDE-AND-CONQUER TOMOGRAPHY FOR LARGE-SCALE NETWORKS (2018) (8)
On the Joint Compensation of IQ Imbalances and Phase Noise in MIMO-OFDM Systems (2007) (8)
Robust exponential filtering for uncertain systems with stochastic and polytopic uncertainties (2002) (8)
Structured matrices and unconstrained rational interpolation problems (1994) (8)
An optimal error nonlinearity for robust adaptation against impulsive noise (2013) (8)
Graph Learning Under Partial Observability (2019) (8)
A probabilistic power-aware routing algorithm for wireless ad-hoc networks (2004) (8)
Robust distributed detection over adaptive diffusion networks (2014) (7)
OFDM Channel Estimation in the Presence of Frequency Offset, IQ Imbalance and Phase Noise (2007) (7)
Estimation in the presence of multiple sources of uncertainties with applications (1998) (7)
An unbiased and cost-effective leaky-LMS filter (1996) (7)
Adaptive decision-making over complex networks (2012) (7)
Diffusion estimation over cooperative networks with missing data (2013) (7)
Multitask Learning Over Adaptive Networks With Grouping Strategies (2018) (7)
Tracking properties of a convex combination of two adaptive filters (2005) (7)
CORDIC-Based MMSE-DFE Coefficient Computation (1999) (7)
Performance limits of stochastic sub-gradient learning, Part I: Single agent case (2015) (7)
Comparison of robust estimation and Kalman filtering applied to fingertip tracking in human-machine interfaces (2001) (7)
Two-Dimensional Spatio-Temporal Signal Processing for Dispersion Compensation in Time-Stretched ADC (2007) (7)
Diffusion LMS With Communication Delays: Stability and Performance Analysis (2020) (7)
Social Learning under Randomized Collaborations (2022) (7)
Performance analysis of multitask diffusion adaptation over asynchronous networks (2014) (7)
Honeybee swarming behavior using diffusion adaptation (2011) (7)
Diffusion social learning over weakly-connected graphs (2016) (7)
Array algorithms for H-infinity estimation (2000) (7)
Tomography of Large Adaptive Networks under the Dense Latent Regime : Invited Paper (2018) (7)
Adaptive multipath resolving for wireless location systems (2001) (7)
Adaptive Models for Gene Networks (2012) (7)
Adaptation and Learning over Complex Networks [From the Guest Editors] (2013) (7)
Fast RLS Laguerre adaptive filtering (1999) (7)
Learning Bollobás-Riordan Graphs Under Partial Observability (2021) (7)
Clock jitter estimation in noise (2011) (7)
A generalized tracking analysis of adaptive filtering algorithms in cyclicly and randomly varying environments (2000) (7)
Space-time coding in MISO-OFDM systems with implementation impairments (2004) (7)
Alamouti space-time coded relay strategy for wireless networks (2005) (7)
Distributed spectrum sensing in the presence of selfish users (2013) (6)
Hidden Markov Modeling Over Graphs (2021) (6)
Adaptive frequency-domain joint equalization and interference cancellation for multi-user space-time block-coded systems (2003) (6)
Reduction of the effects of spurious PLL tones on A/D converters (2010) (6)
Mitigation of clipping in sensors (2013) (6)
Digital compensation of RF nonlinearities in software-defined radios (2008) (6)
Post-translational regulation enables robust p53 regulation (2013) (6)
Distributed Kalman and Particle Filtering (2018) (6)
A robust minimum-variance filter for time varying uncertain discrete-time systems (2003) (6)
Dictionary learning over large distributed models via dual-ADMM strategies (2014) (6)
On the effects of topology and node distribution on learning over complex adaptive networks (2011) (6)
A phase noise compensation scheme for OFDM wireless systems (2006) (6)
LMS and Backpropagation are Minimax Filters (1994) (6)
Online learning and adaptation over networks: More information is not necessarily better (2013) (6)
Graph Learning Over Partially Observed Diffusion Networks: Role of Degree Concentration (2019) (6)
An uplink DS-CDMA receiver using a robust post-correlation Kalman structure (2005) (6)
On the effects of colluded statistical attacks in cooperative spectrum sensing (2013) (6)
Snap&tell: a vision-based wearable system to support web-on-the-world applications (2002) (6)
Online Graph Learning from Social Interactions (2021) (5)
On the probability distribution of distributed optimization strategies (2013) (5)
A Fundamental Limit of Distributed Hypothesis Testing Under Memoryless Quantization (2022) (5)
RLS-Laguerre lattice adaptive filtering: error feedback and array-based algorithms (2001) (5)
An adaptive structure for sigma delta modulation with improved dynamic range (2000) (5)
Performance limits of single-agent and multi-agent sub-gradient stochastic learning (2016) (5)
Continuous-time distributed estimation (2011) (5)
Graph-Homomorphic Perturbations for Private Decentralized Learning (2020) (5)
Stability analysis of an adaptive structure for sigma delta modulation (2000) (5)
Cluster formation over adaptive networks with selfish agents (2013) (5)
Joint Compensation of IQ Imbalance and Phase Noise in OFDM Systems (2006) (5)
Learning From Heterogeneous Data Based on Social Interactions Over Graphs (2021) (5)
Decentralized Consensus Optimization with Asynchrony and Delay (2016) (5)
Adaptive Subchip Multipath Resolving for Wireless Location Systems (2006) (5)
Performance of diffusion adaptation for collaborative optimization (2012) (5)
Distributed Coupled Learning Over Adaptive Networks (2018) (5)
Adaptive stochastic convex optimization over networks (2013) (5)
Relay selection for grouped-relay networks using the average SLNR measure (2009) (5)
Social Learning Under Inferential Attacks (2020) (5)
Modelling brain cortical connectivity using diffusion adaptation (2013) (5)
A CLASS OF ADAPTIVE NONLINEAR H ∞ –FILTERS WITH GUARANTEED l 2 -STABILITY (1995) (5)
Decision Learning and Adaptation Over Multi-Task Networks (2019) (5)
Optimization for Data-Driven Learning and Control (2020) (5)
Regularized Diffusion Adaptation via Conjugate Smoothing (2019) (5)
Design of robust filters with improved robustness margins via parameter scaling (2001) (5)
Carrier Recovery Enhancement for Maximum-Likelihood Doppler Shift Estimation in Mars Exploration Missions (2008) (5)
Signal Processing Theory and Methods [In the Spotlight] (2011) (5)
Robust Estimation for Uncertain Models in a Data Fusion Scenario (2000) (5)
Energy conservation in adaptive filtering (2003) (5)
Learning Kolmogorov Models for Binary Random Variables (2018) (4)
Effective information flow over mobile adaptive networks (2012) (4)
Adaptive MIMO OFDM receivers: Implementation impairments and complexity issues* (2004) (4)
Mathematical models of cerebral hemodynamics for detection of vasospasm in major cerebral arteries. (2008) (4)
Exponentially weighted iterative solutions for worst case parameter estimation (1997) (4)
Team Policy Learning for Multi-agent Reinforcement Learning (2019) (4)
Are ensemble-average learning curves reliable in evaluating the performance of adaptive filters? (1998) (4)
Convex Combination of Diffusion Strategies Over Networks (2020) (4)
Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization (2020) (4)
Square-root algorithms for structured matrices, interpolation, and completion problems (1995) (4)
On the benefits of diffusion cooperation for distributed optimization and learning (2013) (4)
Learning by weakly-connected adaptive agents (2015) (4)
Using an adaptive gene network model for self-organizing multicellular behavior (2012) (4)
Belief control strategies for interactions over weak graphs (2017) (4)
Stochastic Learning under Random Reshuffling (2018) (4)
Performance Limits of Online Stochastic Sub-Gradient Learning (2015) (4)
Steady-State Performance Analysis of a Variable (2008) (4)
3. State-Space Models in Krein Space (1999) (4)
Least‐Squares Criterion (2008) (4)
Stability of the LMS adaptive filter by means of a state equation (1998) (4)
Distributed Adaptive Learning Under Communication Constraints (2021) (4)
Networked Signal and Information Processing (2022) (4)
Distributed throughput optimization over P2P mesh networks using diffusion adaptation (2012) (4)
Browsing the environment with the SNAP&TELL wearable computer system (2005) (4)
Belief Control Strategies for Interactions Over Weakly-Connected Graphs (2018) (4)
Second-Order Guarantees in Federated Learning (2020) (4)
Kalman Filtering and RLS (2008) (4)
STATE-SPACE ESTIMATION WITH UNCERTAIN MODELS (2002) (4)
Efficient Variance-Reduced Learning for Fully Decentralized On-Device Intelligence (2017) (4)
MIMO space-time block coded receivers over frequency selective fading channels (2004) (4)
An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures (2012) (4)
Diffusion adaptation over networks of particles subject to Brownian fluctuations (2011) (4)
Distributed learning over multitask networks with linearly related tasks (2016) (3)
Network Classifiers Based on Social Learning (2020) (3)
Multitask learning over graphs (2020) (3)
Orthonormal realization of fast fixed-order RLS adaptive filters (2001) (3)
Adaptive differential pulse-coded modulation with exponential tracking (2003) (3)
Dynamic Average Diffusion With Randomized Coordinate Updates (2018) (3)
Decentralized clustering for node-variant graph filtering with graph diffusion LMS (2018) (3)
Robustness and convergence of adaptive schemes in blind equalization (1996) (3)
Spatio-temporal diffusion mechanisms for adaptation over networks (2011) (3)
COVER: A Cluster-based Variance Reduced Method for Online Learning (2019) (3)
Exact RLS Laguerre-lattice adaptive filtering (2000) (3)
A recursive Schur-based solution of the four-block problem (1994) (3)
Tracking Performance of Online Stochastic Learners (2020) (3)
Multicast Relay Strategies with Local and Global Power Constraints for Wireless Networks (2006) (3)
Resource allocation strategies for wireless ad-hoc networks (2004) (3)
A generalized Schur-type algorithm for the joint factorization of a structured matrix and its inverse (1996) (3)
Performance analysis of a class of clustered wireless networks (2004) (3)
Adaptive Diffusion with Compressed Communication (2022) (3)
Order-adaptive frequency trackers for direct-to-Earth Mars communications (2009) (3)
Precoding for broadcasting with linear network codes (2006) (3)
Detection over diffusion networks: Asymptotic tools for performance prediction and simulation (2016) (3)
Antenna selection with superposition for 4 x 2 DSTTD systems (2009) (3)
SNR performance of an adaptive sigma delta modulator (2001) (3)
Learning by networked agents under partial information (2017) (3)
Adaptation in Online Social Learning (2020) (3)
Random Information Sharing over Social Networks (2022) (3)
Adaptive channel estimation for MIMO space-time coded communications (2004) (3)
A recursive method for solving unconstrained tangential interpolation problems (1999) (3)
Introduction to the Issue on DSP Techiques for RF/Analog Circuit Impairments (2009) (3)
Optimality Criteria for LMS and Backpropagation (1993) (3)
Regularized robust estimators for time varying uncertain discrete-time systems (2003) (3)
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems (2021) (3)
Distributed Bayesian Learning of Dynamic States (2022) (3)
Quantization for decentralized learning under subspace constraints (2022) (2)
A Robustness Analysis of Gauss-Newton Recursive Methods (1995) (2)
Efficient Variance-Reduced Learning Over Multi-Agent Networks (2018) (2)
Array Algorithms for H 2 and H ∞ Estimation (1999) (2)
Local and global passivity relations for Gauss-Newton methods in adaptive filtering (1995) (2)
An adaptive filter robust to data uncertainties (2000) (2)
H 1 Optimality of the LMS Algorithm 1 (1995) (2)
Partial Information Sharing Over Social Learning Networks (2020) (2)
Interference suppression of asynchronous multi-user space-time block coded transmissions (2004) (2)
Excess-Risk Analysis of Distributed Stochastic Learners (2013) (2)
Distributed inference over regression and classification models (2013) (2)
Structured matrices and moment problems (1993) (2)
Introduction to the issue on adaptation and learning over complex networks (2013) (2)
Displacement structure and maximum entropy (1997) (2)
Reducing spurious PLL tones in spectrum sensing architectures (2011) (2)
Adaptive Social Learning (2020) (2)
On the Robustness of Perceptron Learning Recurrent Networks (1996) (2)
Frequency domain compensation of spurious sidebands in A/D circuits (2011) (2)
Time-variant structured matrices: an application to instrumental variable methods (1994) (2)
Fast stable solvers for structured linear systems (1999) (2)
Adaptation and Learning in Multi-Task Decision Systems (2020) (2)
Affine Projection Algorithm (2008) (2)
Optimal Aggregation Strategies for Social Learning over Graphs (2022) (2)
Learning Erdős-Rényi Graphs under Partial Observations: Concentration or Sparsity? (2019) (2)
Free electronic access to SP publications (2009) (2)
Decentralized Decision-Making Over Multi-Task Networks (2018) (2)
Multi-relay strategy for imperfect channel information in sensor networks (2005) (2)
Decision-making algorithms for learning and adaptation with application to COVID-19 data (2020) (2)
Linear Speedup in Saddle-Point Escape for Decentralized Non-Convex Optimization (2019) (2)
Guest Editorial Inference and Learning over Networks (2016) (2)
Regularized Robust Filtering for Discrete Time Uncertain Time-Delayed Stochastic Systems (2004) (2)
Distributed learning via Diffusion adaptation with application to ensemble learning (2012) (2)
AN EXPONENTIALLY CONVERGENT ALGORITHM FOR LEARNING UNDER DISTRIBUTED FEATURES (2018) (2)
Learning Graph Influence from Social Interactions (2020) (2)
A computationally-efficient FIR MMSE-DFE for multi-user communications (2000) (2)
Robustness and convergence of adaptive schemes in blind equalization and neural network training (1996) (2)
Recursive Construction of Multichannel Transmission Lines with a Maximum Entropy Property (2002) (2)
A parallel low-complexity coefficient computation processor for the MMSE-DFE (1997) (2)
Adaptive Signal Processing (2010) (1)
Coordinate-descent adaptation over networks (2017) (1)
Memory-Aware Social Learning under Partial Information Sharing (2023) (1)
Adaptive learning for stochastic generalized Nash equilibrium problems (2016) (1)
Decentralized GAN Training Through Diffusion Learning (2022) (1)
Frequency-Domain Diffusion Adaptation Over Networks (2021) (1)
Learning Under Distributed Features (2018) (1)
Summary and Notes (2008) (1)
Linear Estimation in ein Spaces- eory (1996) (1)
Logical Team Q-learning: An approach towards factored policies in cooperative MARL (2020) (1)
Robust Adaptive Filters (2008) (1)
Discussion on: 'Tradeoff between Mean-Square and Worst-Case Performances in Adaptive Filtering' by P. Bolzern, P. Colaneri and G. De Nicolao (2000) (1)
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints (2022) (1)
BOOK REVIEW-//Linear Estimation (2003) (1)
Advertisement - Free Electronic Access to SP Publications (2010) (1)
A Minimum Co-User Interference Approach for Multi-User MIMO Downlink Precoding (2006) (1)
Continuous-time distributed estimation with asymmetric mixing (2012) (1)
Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization (2019) (1)
Normalized LMS Algorithm (2008) (1)
Competing Adaptive Networks (2021) (1)
Distributed Meta-Learning with Networked Agents (2021) (1)
Steady-state performance of incremental learning over distributed networks for non-Gaussian data (2008) (1)
Block and Subband Adaptive Filters (2008) (1)
A minimum variance rate and power update algorithm for wireless networks (2003) (1)
Distributed primal strategies outperform primal-dual strategies over adaptive networks (2015) (1)
A Schur-Based Approach to the Four-Block Problem (1992) (1)
Adaptive channel estimation for space-time block coded MIMO-OFDM communications (2004) (1)
Indefinite Least‐Squares (2008) (1)
QR and Inverse QR Algorithms (2008) (1)
A power and rate control algorithm for wireless networks with state-delayed dynamics (2004) (1)
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features (2020) (1)
Decisions Under Binary Messaging Over Adaptive Networks (2018) (1)
Multi-Agent Adversarial Training Using Diffusion Learning (2023) (1)
Distributed beamforming and mode selection based on instantaneous system throughput (2010) (1)
Deception in Social Learning (2021) (1)
Adaptive angle of arrival estimation for multiuser wireless location systems (2004) (1)
Performance of RLS and Other Filters (2008) (1)
A bio-inspired fast swarming algorithm for dynamic radio access (2011) (1)
A unified approach to the steady-state analysis of quantized adaptive filtering algorithms (2000) (1)
CDMA WIRELESS LOCATION UCLA Undergraduate Research Program in Electrical Engineering Summer (2003) (1)
Network Classifiers With Output Smoothing (2019) (1)
PARAMETER ESTIMATION IN THE PRESENCE OF BOUNDEDDATA (1998) (1)
Browsing the environment with the SNAP&TELL wearable computer system (2005) (1)
Performance of Deconvolution Methods in Estimating CBOC-Modulated Signals (2011) (1)
State estimation with uncertain parametric models (2000) (1)
Lattice Filter Algorithms (2008) (1)
Explainability and Graph Learning From Social Interactions (2022) (1)
ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off (2019) (1)
Unsupervised algorithms for distributed estimation over adaptive networks (2012) (1)
Further thoughts on the paper by Sayed Impact of Networked Cognition and Learning on Engineered Systems (2014) (0)
Other LMSType Algorithms (2008) (0)
Self-aware Social Learning over Graphs (2021) (0)
Discovering Influencers in Opinion Formation Over Social Graphs (2022) (0)
Policy Evaluation in Decentralized POMDPs with Belief Sharing (2023) (0)
Enhanced Diffusion Learning Over Networks (2019) (0)
Order and TimeUpdate Relations (2008) (0)
Collaborative algorithms for bandwidth and allocation in wireless networks (2004) (0)
Three Basic Estimation Problems (2008) (0)
UNIVERSITY OF CALIFORNIA Los Angeles Subcortical-Cortical Network Dynamics in the Human Brain A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biomedical Engineering by (2015) (0)
Iterative solutions of min-max parameter estimation with bounded data uncertainties (1997) (0)
13. Infinite-Horizon Results for State-Space Models (1999) (0)
10. Input—Output Approach to H2 and H∞ Estimation (1999) (0)
Decentralized Learning in the Presence of Low-Rank Noise (2022) (0)
Introducing overview articles in Signal Processing Transactions [Society News] (2009) (0)
State-space estimation with uncertain data: finite and infinite-horizon results (2000) (0)
Robust Adaptation in Impulsive Noise (accepted) (2016) (0)
Recursive linear estimation in spaces with application in h / inf / problems (1994) (0)
Improving the Accuracy of the Generalized Schur Algorithm (1997) (0)
Norm and Angle Preservation (2008) (0)
PROCESSING OVER ADAPTIVE NETWORKS (2006) (0)
Institutional Repository Distributed estimation over an adaptive incremental network based on the affine projection algorithm (2017) (0)
Fast adaptive filtering algorithms for long tapped-delay-lines (2001) (0)
Loughborough University Institutional Repository Distributed estimation over an adaptive incremental network based on the affine projection algorithm (2018) (0)
4. Finite-Horizon H∞ Filtering (1999) (0)
Fixed point analysis of the constant modulus algorithm (2001) (0)
Displacement Structure and H∞ Problems (2000) (0)
Inverse Graph Learning over Optimization Networks (2019) (0)
TP-8 4 : 00 Square-Root Arrays and Chandrasekhar Recursions for H 00 Problems * (2004) (0)
Performance of LMS (2008) (0)
50 Least-Squares Problems (0)
Block trigonometric transform adaptive filtering (1998) (0)
Online dual coordinate ascent learning (2016) (0)
ISL: A novel approach for deep exploration (2019) (0)
15. Optimal H∞ Solutions (1999) (0)
NONLINEAR KALMAN FILTERINGWITH APPLICATIONS TO WIRELESS LOCALIZATION (2010) (0)
Energy Conservation and State-Space Characterization of Adaptive Filter Performance (2003) (0)
stimation in Krein Spaces- art 11: Applications (1996) (0)
On lossless cascades in structured matrix factorization (1995) (0)
Decentralized Semi-supervised Learning over Multitask Graphs (2022) (0)
Loughborough University Institutional Repository Distributed estimation over an adaptive incremental network based on the a ne projection algorithm (2017) (0)
Fast Array Algorithm (2008) (0)
Steepest–Descent Technique (2008) (0)
Enforcing Privacy in Distributed Learning with Performance Guarantees (2023) (0)
5. Array Algorithms (1999) (0)
Performance Analysis of an Affine Combination of Two LMS Adaptive Filters (2017) (0)
Performance of SignError LMS (2008) (0)
Hoo filtering is just Kalman filtering in Krein space (1993) (0)
Problems and Computer Projects (2008) (0)
12. The Discrete-Time Algebraic Riccati Equation (1999) (0)
A robust receiver for multi-user uplink DS-CDMA (2003) (0)
GRAPH LEARNING FROM SEQUENTIAL DATA (2018) (0)
3 0 O ct 2 01 9 LINEAR SPEEDUP IN SADDLE-POINT ESCAPE FOR DECENTRALIZED NON-CONVEX OPTIMIZATION (2019) (0)
Decentralized Adversarial Training over Graphs (2023) (0)
9. Finite-Horizon Control Problems (1999) (0)
Efficient Block Convolution (2008) (0)
GROUP DIFFUSION LMS Jie Chen ? (2016) (0)
Stability and Performance Analysis of an Adaptive (2001) (0)
Recursive linear estimation in Krein spaces with applications to H∞ problems (1994) (0)
Book review (2003) (0)
Predictive ratio closed-loop power control for CDMA wireless systems (2002) (0)
A Time-Domain Feedback-Analysis of Recursive Identification Schemes (1995) (0)
11. Input—Output Approach to H2 and H∞ Control (1999) (0)
Time-variant displacement structure: theory and applications (1993) (0)
Dynamic Data Trends for Real-Time Asthma Health Evaluation App (2016) (0)
Vector‐Valued Data (2008) (0)
Combinations of Adaptive Filters (2021) (0)
On the Performance of Clustered Energy-Aware Wireless Networks (2006) (0)
Fundamental inertia conditions for the solution of H/sup /spl infin//-problems (1995) (0)
Regularized Prediction Problems (2008) (0)
The brain strategy for online learning (2016) (0)
Linear E stimation by T homas (2001) (0)
Distributed Learning over Networks under Subspace Constraints (2019) (0)
Session TP2b: Cooperative adaptation and learning (invited) (2012) (0)
Social Opinion Formation Under Communication Trends (2022) (0)
A multimodal wearable computer interface using state-space estimation with uncertain models (2006) (0)
Use of Constrained Nonlinear Kalman Filtering to Detect Pathological Constriction of Cerebral Arterial Blood Vessels (2009) (0)
Structured extensions of matrices (2000) (0)
Inverse closed-loop power control for CDMA wireless systems (2002) (0)
Array Lattice Filters (2008) (0)
Recursive Least‐Squares (2008) (0)
Data Normalized Filters (2008) (0)
Useful matrix results (1999) (0)
Performance of NLMS (2008) (0)
Gramian-Based Adaptive Combination Policies for Diffusion Learning Over Networks (2020) (0)
14. Asymptotic Behavior (1999) (0)
Displacement structure and rational interpolation theory (1993) (0)
Impact of Networked Cognition and Learning on Engineered Systems [Further Thoughts] (2014) (0)
e-Domain Feedback Analysis of nor Adaptive Gradient Algorithms (1996) (0)
A dynamic antenna scheduling strategy for multi-user MIMO communications (2006) (0)
LMS with Gaussian Regressors (2008) (0)
Topology Inference over Networks with Nonlinear Coupling (2019) (0)
ErrorFeedback Lattice Filters (2008) (0)
Fast updating of structured linear systems of equations with applications in adaptive filtering (1999) (0)
1. Introduction and Motivation (1999) (0)
Fast FixedOrder Filters (2008) (0)
16. Continuous-Time Results and Final Remarks (1999) (0)
Compressed Regression over Adaptive Networks (2023) (0)
Transform Domain Adaptive Filters (2008) (0)
Array Algorithms for H2 and Hoo estimation (1999) (0)
On the Fusion Strategies for Federated Decision Making (2023) (0)
Mean-square analysis of continuous-time distributed estimation strategies (2012) (0)
A divide-and-conquer algorithm for channel estimation in multi-user space-time coded transmissions (2004) (0)
Local Graph-homomorphic Processing for Privatized Distributed Systems (2022) (0)
Feedback Control Theory Reveals Tradeoff between Robustness and Stability in the p53-MDM2 Network (2012) (0)
Scalar‐Valued Data (2008) (0)
Privatized Graph Federated Learning (2022) (0)
Keynote 1 (2019) (0)
6. Several Related Problems (1999) (0)
Weighted Energy Conservation (2008) (0)
Graph Exploration for Effective Multi-agent Q-Learning (2023) (0)

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