Simon Godsill

Simon Godsill's AcademicInfluence.com Rankings

Simon Godsill

Mathematics

#5575

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#7836

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Statistics

#479

World Rank

#554

Historical Rank

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Mathematics

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According to Wikipedia, Simon John Godsill is professor of statistical signal processing at the University of Cambridge, and a professorial fellow at Corpus Christi College. He is also a member of the Centre for Science and Policy. His main area of research is Bayesian statistics and stochastic sampling methodologies, particularly particle filtering.

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Simon Godsill'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

On sequential Monte Carlo sampling methods for Bayesian filtering (2000) (4767)
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo (2007) (1039)
On sequential simulation-based methods for Bayesian filtering (1998) (797)
Monte Carlo Smoothing for Nonlinear Time Series (2004) (608)
Monte Carlo filtering for multi target tracking and data association (2005) (428)
Trans-dimensional Markov chain Monte Carlo (2000) (348)
Poisson models for extended target and group tracking (2005) (280)
On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty (2001) (267)
A Bayesian Approach for Blind Separation of Sparse Sources (2006) (185)
Particle methods for Bayesian modeling and enhancement of speech signals (2002) (180)
The Institution of Engineering and Technology Seminar on Target Tracking and Data Fusion (2008) (178)
Digital audio restoration (1998) (177)
Improvement Strategies for Monte Carlo Particle Filters (2001) (172)
Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement (2003) (171)
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking (2014) (160)
Bayesian extensions to non-negative matrix factorisation for audio signal modelling (2008) (159)
Monte Carlo smoothing with application to audio signal enhancement (2001) (155)
Maximum a Posteriori Sequence Estimation Using Monte Carlo Particle Filters (2001) (152)
Bayesian harmonic models for musical pitch estimation and analysis (2002) (137)
Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation (2002) (123)
Bayesian variable selection and regularization for time–frequency surface estimation (2004) (116)
Multiband Image Fusion Based on Spectral Unmixing (2016) (108)
Auxiliary Particle Implementation of Probability Hypothesis Density Filter (2010) (106)
Marginal maximum a posteriori estimation using Markov chain Monte Carlo (2002) (104)
Bayesian analysis of polyphonic western tonal music. (2006) (102)
Bayesian harmonic models for musical signal analysis (2003) (89)
A reversible jump sampler for autoregressive time series (1997) (88)
Detection and Tracking of Coordinated Groups (2011) (88)
Digital Audio Effects (2011) (86)
Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters (2007) (85)
A Bayesian approach to the restoration of degraded audio signals (1995) (84)
Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler (1998) (79)
Reversible Jump Markov Chain Monte Carlo Strategies for Bayesian Model Selection in Autoregressive Processes (2004) (76)
Sequential Monte Carlo framework for extended object tracking (2005) (75)
Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers (2012) (74)
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio (2008) (74)
Group Target Tracking with the Gaussian Mixture Probability Hypothesis Density Filter (2007) (71)
Variational and stochastic inference for Bayesian source separation (2007) (69)
Bayesian Modelling of Temporal Structure in Musical Audio (2006) (67)
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation (2016) (67)
On MCMC-Based particle methods for Bayesian filtering: Application to multitarget tracking (2009) (66)
A hybrid approach for online joint detection and tracking for multiple targets (2005) (65)
On the relationship between MCMC model uncertainty methods (1997) (60)
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods (2011) (60)
Special issue on Monte Carlo methods for statistical signal processing (2002) (58)
MCMC for joint noise reduction and missing data treatment in degraded video (2002) (58)
Monte Carlo filtering and smoothing with application to time-varying spectral estimation (2000) (57)
Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling (2014) (57)
The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking (2009) (57)
Fixed-lag smoothing using sequential importance sampling (1999) (50)
Bayesian inference for time series with heavy-tailed symmetric α-stable noise processes (1999) (50)
Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles (2016) (48)
Variable rate particle filters for tracking applications (2005) (47)
Models and algorithms for tracking using trans-dimensional sequential Monte Carlo (2004) (46)
Statistical gear health analysis which is robust to fluctuating loads and operating speeds (2012) (44)
On-line Bayesian estimation of signals in symmetric /spl alpha/-stable noise (2006) (43)
Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement (2000) (43)
Acoustic Source Localization and Tracking Using Track Before Detect (2010) (41)
Models and Algorithms for Detection and Tracking of Coordinated Groups (2008) (41)
A Nonreference Image Fusion Metric Based on the Regional Importance Measure (2009) (41)
Multi-Gabor dictionaries for audio time-frequency analysis (2001) (40)
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework (2017) (40)
Bayesian approach to parameter estimation and interpolation of time-varying autoregressive processes using the Gibbs sampler (1997) (38)
Bayesian Enhancement of Speech and Audio Signals which can be Modelled as ARMA Processes (1997) (37)
Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics (2012) (37)
A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors (1996) (37)
Sparse linear regression in unions of bases via Bayesian variable selection (2006) (37)
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions (2015) (36)
On sequential sampling Monte Carlo sampling methods for Bayesian filtering (2000) (36)
Deterministic and statistical methods for reconstructing multidimensional NMR spectra (2006) (36)
Guest editorial special issue on monte carlo methods for statistical signal processing (2002) (35)
Probabilistic phase vocoder and its application to interpolation of missing values in audio signals (2005) (35)
Touchscreen usability and input performance in vehicles under different road conditions: an evaluative study (2015) (34)
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models (2015) (34)
A Particle Filter for Model Based Audio Source Separation (2000) (33)
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model (2016) (33)
Bayesian model selection for time series using Markov chain Monte Carlo (1997) (33)
Multi-channel signal separation (1996) (32)
Extended object tracking using particle techniques (2004) (31)
Sparse Regression with Structured Priors: Application to Audio Denoising (2006) (30)
Bayesian computational methods for sparse audio and music processing (2007) (29)
Inference in symmetric alpha-stable noise using MCMC and the slice sampler (2000) (28)
Interpolation of missing data values for audio signal restoration using a Gabor regression model (2005) (28)
Monte Carlo smoothing with application to speech enhancement (2002) (28)
Monte Carlo Filtering of Piecewise Deterministic Processes (2011) (28)
Tracking variable number of targets using sequential monte carlo methods (2005) (27)
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation With Mutual Coupling Effects (2017) (27)
Statistical Model-Based Approaches to Audio Restoration and Analysis (2001) (27)
Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo (2013) (27)
Particle Filtering: the First 25 Years and beyond (2019) (26)
Bayesian computational models for inharmonicity in musical instruments (2005) (26)
Bayesian Graphical Models for Polyphonic Pitch Tracking (1999) (26)
Rao-Blackwellised particle filter for star-convex extended target tracking models (2016) (25)
Compressed Sensing & Sparse Filtering (2013) (25)
A Backward-Simulation Based Rao-Blackwellized Particle Smoother for Conditionally Linear Gaussian Models (2012) (25)
A review of recent results in multiple target tracking (2005) (25)
MCMC methods for restoration of nonlinearly distorted autoregressive signals (1998) (24)
Robust noise reduction for speech and audio signals (1996) (24)
Multi Target Acoustic Source Tracking using Track Before Detect (2007) (24)
You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection (2016) (24)
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models (2013) (24)
Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes (2011) (23)
A Probabilistic Framework for Matching Music Representations (2007) (23)
On-line Bayesian Estimation of Signals in Symmetric α-Stable Noise (2004) (23)
Methodology for Monte Carlo smoothing with application to time-varying autoregressions (2000) (22)
Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors (2014) (22)
Probability Theory and Random Processes (1998) (22)
Prior Structures for Time-Frequency Energy Distributions (2007) (22)
The restoration of degraded audio signals (1993) (22)
Generative Spectrogram Factorization Models for Polyphonic Piano Transcription (2010) (21)
Joint detection, interpolation, motion and parameter estimation for image sequences with missing data (1997) (21)
Recursive restoration of pitch variation defects in musical recordings (1994) (21)
Bayesian models for DNA sequencing (2002) (21)
Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods (2007) (20)
Tracking of coordinated groups using marginalised MCMC-based Particle algorithm (2009) (20)
Ground target modelling, tracking and prediction with road networks (2007) (20)
Multi-Object Tracking of Sinusoidal Components in Audio with the Gaussian Mixture Probability Hypothesis Density Filter (2007) (20)
Sequential Bayesian Kernel Regression (2003) (20)
Bayesian blind deconvolution for mobile communications (1997) (20)
Auxiliary Particle Implementation of the Probability Hypothesis Density Filter (2007) (19)
Joint Bayesian removal of impulse and background noise (2011) (19)
Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model (2011) (19)
Intent Recognition Using Neural Networks and Kalman Filters (2013) (19)
Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference (2014) (18)
Multidimensional optimisation of harmonic signals (1998) (18)
Robust treatment of impulsive noise in speech and audio signals (1996) (18)
Radial basis function regression using trans-dimensional sequential Monte Carlo (2003) (18)
Dicussion on the meeting on ‘Statistical approaches to inverse problems’ (2004) (18)
A Bayesian approach to the detection and correction of error bursts in audio signals (1992) (17)
Monte Carlo smoothing for non-linearly distorted signals (2001) (17)
Perceptually Motivated Approaches to Music Restoration (2001) (17)
Bayesian estimation of simultaneous musical notes based on frequency domain modelling (2004) (17)
Gaussian Mixture implementations of Probability Hypothesis Density filters for non-linear dynamical models (2008) (17)
Sequential Inference of Rhythmic Structure in Musical Audio (2007) (17)
Audio information retrieval: a bibliographical study (2002) (17)
Fully Bayesian inference for α-stable distributions using a Poisson series representation (2015) (16)
Dynamical models for tracking with the variable rate particle filter (2012) (16)
Bayesian separation and recovery of convolutively mixed autoregressive sources (1999) (16)
Models and Algorithms for Detection and Tracking of Coordinated Groups (2007) (16)
Poisson point process modeling for polyphonic music transcription. (2007) (16)
Destination inference using bridging distributions (2015) (15)
Bayesian methods in signal and image processing (1999) (15)
Bayesian Cointegrated Vector Autoregression Models Incorporating α-Stable Noise for Inter-Day Price Movements Via Approximate Bayesian Computation (2010) (15)
Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources (2004) (15)
Visual tracking of partially observable targets with suboptimal filtering (2011) (14)
Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models (2012) (14)
Modelling electropherogram data for DNA sequencing using variable dimension MCMC (2000) (14)
Particle predictive control (2011) (14)
Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm (2006) (14)
Particle filtering with progressive Gaussian approximations to the optimal importance density (2013) (13)
Evolutionary MCMC Particle Filtering for Target Cluster Tracking (2009) (13)
Multiple object tracking using evolutionary and hybrid mcmc-based particle algorithms (2009) (13)
Enhanced Poisson sum representation for alpha-stable processes (2011) (13)
Tracking of multiple contaminant clouds (2009) (12)
Inference for models with asymmetric α -stable noise processes (2015) (12)
Blind model-based fusion of multi-band and panchromatic images (2016) (12)
Compressed sensing and sparse filtering (2013) (12)
Bayesian Inference for 2D Gel Electrophoresis Image Analysis (2007) (12)
Statistical estimation of user's interactions from motion impaired cursor use data (2006) (12)
Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes (2017) (12)
The Detection and Correction of Artefacts in Degraded Gramophone Recordings (1991) (12)
Bayesian model selection of autoregressive processes (2000) (11)
Joint interpolation, motion and parameter estimation for image sequences with missing data (1996) (11)
BAYESIAN MODELLING OF HARMONIC SIGNALS FOR POLYPHONIC MUSIC TRACKING (1999) (11)
MCMC-based tracking and identification of leaders in groups (2011) (11)
Robust modelling of noisy ARMA signals (1997) (11)
Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters (2016) (11)
Online multitarget detection and tracking using sequential Monte Carlo methods (2005) (11)
An approximate likelihood method for estimating static parameters in multi-target tracking models (2009) (10)
Bayesian modelling of time-frequency coefficients for audio signal enhancement (2003) (10)
User Target Intention Recognition from Cursor Position Using Kalman Filter (2013) (10)
Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays (2018) (10)
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio (2002) (10)
Restoration of Nonlinearly Distorted Audio Using Markov Chain Monte Carlo Methods (1998) (10)
Particle Smoothing Algorithms for Variable Rate Models (2013) (10)
Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems (2015) (10)
On-line Bayesian modelling and enhancement of speech signals (2000) (9)
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions. (2016) (9)
A Bayesian particle filtering method for brain source localisation (2014) (9)
Audio Signal Processing Using Complex Wavelets (2003) (9)
Driver and Passenger Identification From Smartphone Data (2019) (9)
Bayesian Time Series Models: Approximate likelihood estimation of static parameters in multi-target models (2011) (9)
The multi-channel AR model for real-time audio restoration (2005) (9)
Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement (2002) (9)
Estimation of CAR processes observed in noise using Bayesian inference (2001) (8)
Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations (1998) (8)
Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks (2014) (8)
Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling (1999) (8)
Blind separation of sparse sources using variational EM (2005) (8)
Frequency-based interpolation of sampled signals with applications in audio restoration (1993) (8)
A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions (2014) (8)
Proc. of the Int. Conf. on Digital Audio Effects (DAFx-06) (2006) (8)
Bayesian blind marginal separation of convolutively mixed discrete sources (1998) (8)
Tracking pitch period using particle filters (2013) (8)
Efficient variational inference for the dynamic harmonic model (2005) (8)
The Application of Psychoacoustic Criteria to the Restoration of Musical Recordings (2000) (8)
An introduction to the theory and applications of simulation based computational methods in Bayesian signal processing (1998) (8)
Bayesian inference for multidimensional NMR image reconstruction (2006) (8)
Multiple dipolar sources localization for MEG using Bayesian particle filtering (2013) (7)
A two-channel approach to the removal of impulsive noise from archived recordings (1994) (7)
Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise (2004) (7)
Ground target group structure and state estimation with particle filtering (2008) (7)
Introduction to Compressed Sensing and Sparse Filtering (2014) (7)
Gaussian flow sigma point filter for nonlinear Gaussian state-space models (2017) (7)
Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters (2019) (7)
Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes (2006) (7)
A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise (2020) (7)
Evolving networks for group object motion estimation (2008) (7)
A perceptually balanced loss function for short-time spectral amplitude estimation (2003) (7)
Road-assisted multiple target tracking in clutter (2014) (7)
On Destination Prediction Based on Markov Bridging Distributions (2019) (7)
The Lévy State Space Model (2019) (7)
A comparative study of Monte-Carlo methods for multitarget tracking (2011) (7)
Assessing the Impact of Private Sector Balance Sheets Effects on Financial Crises: a comparison of Bayesian and information-theoretic measures of model uncertainty (2004) (7)
Sparse structure inference for group and network tracking (2016) (7)
Sequential methods for DNA sequencing (2001) (7)
JOINT ACOUSTIC SOURCE LOCATION AND ORIENTATION ESTIMATION USING SEQUENTIAL MONTE CARLO (2006) (6)
Joint noise reduction, motion estimation, missing data reconstruction, and model parameter estimation for degraded motion pictures (1998) (6)
Bayesian detection of single-trial event-related potentials (2014) (6)
Online multisensor-multitarget detection and tracking (2006) (6)
Restoration of Image Sequences using a Causal Spatio-Temporal Model (1997) (6)
Multi-channel multi-tap signal separation by output decorrelation (1996) (6)
Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods (2005) (6)
Non-stationary Bayesian modelling and enhancement of speech signals (1999) (6)
MCMC methods for restoration of quantised time series (1999) (6)
Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective (2007) (6)
An improved speech production model for voiced speech utilising seasonal AR-AR model and Markov chain Monte Carlo simulation (1998) (6)
Multiple Object Tracking Using Evolutionary MCMC-Based Particle Algorithms (2009) (5)
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering (2008) (5)
A Bayesian Framework for Intent Prediction in Object Tracking (2019) (5)
Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles (2014) (5)
Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral (2021) (5)
Bayesian hierarchical models and inference for musical audio processing (2008) (5)
Nonasymptotic Gaussian Approximation for Inference With Stable Noise (2018) (5)
Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction (2015) (5)
Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods (2021) (5)
The Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (2009) (5)
Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects (2021) (5)
The shifted inverse-gamma model for noise-floor estimation in archived audio recordings (2010) (5)
Robust reconstruction and analysis of autoregressive signals in impulsive noise signals using Gibbs sampler (1995) (5)
MODELS AND ALGORITHMS FOR TRACKING USING VARIABLE DIMENSION PARTICLE FILTERS (2004) (5)
Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study (2015) (5)
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo (2016) (5)
A new analytic representation for the symmetric a-stable probability density function (1997) (5)
Markov chain Monte Carlo estimation for the seasonal autoregressive process with application to pitch modelling (1998) (5)
Pseudo-Marginal MCMC for Parameter Estimation in α-Stable Distributions (2015) (5)
Inferring Dynamic Group Leadership Using Sequential Bayesian Methods (2020) (5)
Simultaneous localization and mapping for non-parametric potential field environments (2012) (4)
Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model (2006) (4)
A central limit theorem with application to inference in $\alpha$-stable regression models (2016) (4)
Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment (2010) (4)
A BAYESIAN APPROACH TO TIME-FREQUENCY BASED BLIND SOURCE SEPARATION (2005) (4)
Bayesian model selection for linear and non-linear time series using the Gibbs sampler (1998) (4)
How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? (2015) (4)
Bayesian Time Series Models: Sequential inference for dynamically evolving groups of objects (2011) (4)
The Progressive Proposal Particle Filter: Better Approximations to the Optimal Importance Density (2014) (4)
Bayesian statistical methods for audio and music processing (2018) (4)
Efficient Monte Carlo Filtering for Discretely Observed Jumping Processes (2007) (4)
How Does Eye-Gaze Relate to Gesture Movement in an Automotive Pointing Task? (2017) (4)
Bayesian Inference for Continuous-Time ARMA Models Driven by Jump Diffusions (2007) (4)
Recursive decorrelation for blind convolutive signal separation (1999) (4)
Sequential Inference Methods for Non-Homogeneous Poisson Processes with State-Space Prior (2018) (4)
Simulated convergence rates with application to an intractable α-stable inference problem (2017) (4)
Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods (2016) (4)
Rebuilding the limit order book: sequential Bayesian inference on hidden states (2013) (4)
Marginal MAP estimation using Markov chain Monte Carlo (1999) (4)
Gaussian mixture implementations of phd filters for non-linear dynamical models (2008) (4)
Bayesian space‐time processing for acoustic array source estimation using a towed array (2006) (4)
Point process MCMC for sequential music transcription (2011) (3)
Structure inference for networks with general non-parametric inter-object relationships (2012) (3)
Tracking Ground Based Targets in Aerial Video with Dual-Tree Complex Wavelet Polar Matching and Particle Filtering (2008) (3)
Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive (2018) (3)
Special Issue on Particle Filtering in Signal Processing (2004) (3)
A Bayesian framework for perceptually motivated audio signal enhancement (2001) (3)
An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model (2016) (3)
Efficient bridging-based destination inference in object tracking (2017) (3)
Intelligent Finger Movement Controlled Interface for Automotive Environment (2017) (3)
Convergence of the auxiliary particle implementation of the PHD filter (2008) (3)
Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone (2015) (3)
Discussion of `Trans-dimensional Markov chain Monte Carlo' (2003) (3)
Simulation-based computational methods for Bayesian signal processing (1998) (3)
Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC (2010) (3)
A Meta-Tracking Approach for Predicting the Driver or Passenger Intent (2018) (3)
Particle filters for continuous-time jump models in tracking applications (2007) (3)
Online Multiple Target Tracking and Sensor Registration Using Sequential Monte Carlo Methods (2007) (3)
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter (2022) (3)
Restoration of Pitch Variation Defects (1998) (3)
Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters (2015) (3)
Summary and Future Research Directions (1998) (3)
Frequency-domain interpolation of sampled signals (1993) (3)
Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods (2013) (3)
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes (2017) (3)
A Bayesian compressed sensing Kalman filter for direction of arrival estimation (2015) (3)
Bayesian Image Modeling of cDNA Microarray Spots (2007) (3)
Computational Modeling of Musical Signals (2004) (2)
On Bayesian estimation of spectral components for broadband noise reduction in audio signals (2001) (2)
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version] (2018) (2)
$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking (2020) (2)
Online Target Tracking and Sensor Registration using Sequential Monte Carlo Methods (2006) (2)
Adaptive Dynamical Systems in Compressive Domains as a Manifold Learning Framework (2015) (2)
Particle Filtering and Inference for Limit Order Books in High Frequency Finance (2018) (2)
Chapter 4 – Bayesian Computational Methods in Signal Processing (2014) (2)
Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning (2013) (2)
Autonomous Tracking and State Estimation With Generalized Group Lasso (2020) (2)
A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model (2018) (2)
Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering (2017) (2)
Filtering Structures for α-Stable Systems (2022) (2)
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods (2013) (2)
Online Multisensor-Multitarget Detection and Tracking Using Variable Rate Particle Filters (2007) (2)
Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments (2018) (2)
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension (2002) (2)
If and When a Driver or Passenger is Returning to Vehicle: Framework to Infer Intent and Arrival Time (2017) (2)
Efficient filtering and sampling for a class of time-varying linear systems (2015) (2)
Hidden Markov Models Applied To Intraday Momentum Trading With Side Information (2020) (2)
A New Leader-follower Model for Bayesian Tracking (2020) (2)
A perceptually balanced loss function for short-time spectral amplitude estimation (2003) (2)
Sharp Gaussian Approximation Bounds for Linear Systems with α-stable Noise (2018) (2)
A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process (2022) (2)
Convergence results for tractable inference in α-stable stochastic processes (2017) (2)
Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds (2019) (2)
Chapter 1 An approximate likelihood method for estimating the static parameters in multi-target tracking models (2009) (2)
Audio Signal Modelling Using Bayesian Atomic Decompositions (2002) (2)
Comparing solution methodologies for speech enhancement within a Bayesian framework (1998) (2)
Bayesian modelling of microarray images (2006) (2)
An introduction to the theory and applications of simulation based computational methods in Bayesian (1998) (2)
High-resolution hyperspectral image fusion based on spectral unmixing (2016) (2)
Real-time Bayesian GSM buzz removal (2006) (1)
Sequential MCMC Methods for Audio Signal Enhancement (2022) (1)
Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch (2019) (1)
Prediction of cyclic and trend frequencies in time series using the Hilbert–Huang transform (2014) (1)
Bayesian parameter estimation of Jump-Langevin systems for trend following in finance (2015) (1)
Bayesian classification of acoustical waveforms under environmental variability (2011) (1)
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study (2017) (1)
Video tracking using dual-tree wavelet polar matching and particle filtering (2008) (1)
On a new stochastic version of the EM algorithm (1998) (1)
Sequential sparse system estimation for linear systems with nonlinear observations (2016) (1)
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter (2010) (1)
Structured Sparse Bayesian Modelling for Audio Restoration (2014) (1)
A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity (2016) (1)
Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model (2020) (1)
Bayesian Methods in Signal and Image (1999) (1)
Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process (2022) (1)
Detection of Malicious Intent in Non-cooperative Drone Surveillance (2021) (1)
Optimum Kernel Particle Filter for Asymmetric Laplace Noise (2020) (1)
Statistical Reconstruction and Analysis of Autoregressive Signals in Impulsive Noise Statistical Reconstruction and Analysis of Autoregressive Signals in Impulsive Noise (1998) (1)
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise (2018) (1)
7 Improvement Strategies for Monte Carlo Particle Filters (1)
Sequential Ba yesian kernel regression (2004) (1)
ON-LINE BAYESIAN METHODS FOR ESTIMATION OF NON-LINEAR NON-GAUSSIAN SIGNALS (2002) (0)
Optimum Kernel Particle Filter for Asymmetric Laplace Noise in Multivariate Models (2020) (0)
Point process simulation of generalised hyperbolic L\'evy processes (2023) (0)
Unsupervised Bayesian Estimation and Tracking of Time-Varying Convolutive Multichannel Systems (2019) (0)
GaPP: Multi-Target Tracking with Gaussian Processes (2023) (0)
Source Term Estimation and Plume Tracking (2009) (0)
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking (2022) (0)
Monte Carlo approaches to nonlinear optimal control (2008) (0)
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data (2023) (0)
Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering (2021) (0)
On Tracking Applications using Variable Rate Particle Filters (2006) (0)
Parameter Estimation, Model Selection and Classification (1998) (0)
Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior (2021) (0)
RADIAL BASIS FUNCTION REGRESSION USING TRANS-DIMENSIONAL SEQUENTIAL (2003) (0)
Predictive Pointing from Automotive to Inclusive Design (2016) (0)
Blind equalization and sequence estimation using Markov chain Monte Carlo methods (1998) (0)
A Correction Note for Price Dynamics in a Markovian Limit Order Market (2016) (0)
Editorial (2004) (0)
A Bayesian Approach to Click Removal (1998) (0)
Removal of Clicks (1998) (0)
Advanced machine learning methods for autonomous classification of ground vehicles with acoustic data (2022) (0)
Multi-channel audio statistical restoration (2020) (0)
BAyesian modelling for inclusive design under health and situational induced impairments: An overview (2017) (0)
An Overview of Bayesian Computational methods for audio signal processing (2008) (0)
Bayesian Sequential Click Removal (1998) (0)
Contour Tracking using Parametric Level Set Functions (2009) (0)
Removal of Low Frequency Noise Pulses (1998) (0)
Multi-channel bayesian background noise suppression using perceptual cost functions (2008) (0)
Keynote Adress Networked Detection and Tracking - Evasive Targets, Particles, and Point Processes (2006) (0)
Reinforcement Learning and the Bayesian Control Rule (2011) (0)
Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase (2020) (0)
Bayesian Enhancement of Speechand Audio Signals which can beModelled as ARMA ProcessesBy (1997) (0)
An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process (2023) (0)
Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction (2013) (0)
Chapter 3 B AYESIAN MODELLING FOR INCLUSIVE DESIGN UNDER HEALTH AND SITUATIONAL INDUCED IMPAIRMENTS : A N OVERVIEW (2018) (0)
Pseudo-arginal C C for Para eter Esti ation in α-Stabl Distr butions � (0)
Foreword to the Special Section on Meta-Level and Adversarial Tracking (2021) (0)
Implementation and Experimental Results for Bayesian Detection (1998) (0)
The L\'evy State Space Model. (2019) (0)
D-10: A Perceptually Balanced Loss Function for Short-Tie (2003) (0)
TheGaussianMixtureMCMCParticleAlgorithm for DynamicClusterTracking (2012) (0)
Signal processing apparatus and method (2018) (0)
Index of authors, volume 72, 2010 (2010) (0)
Restoration of Coarsely Quantized Audio Signals Using Markov Chain Monte Carlo Methods (1999) (0)
Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints (2016) (0)
BAYESIAN INFERENCE FOR MULTIDIMENSIONAL (2006) (0)
Non-Gaussian Process Regression (2022) (0)
Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking (2019) (0)
Conditionally Factorized Variational Bayes with Importance Sampling (2022) (0)
Fully Bayesian Restoration using EM and MCMC (1998) (0)

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What Schools Are Affiliated With Simon Godsill?

Simon Godsill is affiliated with the following schools:

University of Cambridge