Simon J. Godsill

发表

Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2014, AutomotiveUI.

A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors

Anil C. Kokaram, Simon J. Godsill, S. Godsill, 1996, ECCV.

Bayesian Intent Prediction in Object Tracking Using Bridging Distributions

Simon J. Godsill, Bashar I. Ahmad, James K. Murphy, 2015, IEEE Transactions on Cybernetics.

On-line Bayesian modelling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000 .

How Does Eye-Gaze Relate to Gesture Movement in an Automotive Pointing Task?

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2017 .

Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise

Simon J. Godsill, Marco J. Lombardi, S. Godsill, 2004, 2004 12th European Signal Processing Conference.

Robust noise reduction for speech and audio signals

Simon J. Godsill, Peter J. W. Rayner, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

On Bayesian estimation of spectral components for broadband noise reduction in audio signals

Simon J. Godsill, Patrick J. Wolfe, 2001 .

Multiband Image Fusion Based on Spectral Unmixing

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model

Simon J. Godsill, Sze Kim Pang, William Ng, 2006, 2006 14th European Signal Processing Conference.

BAyesian modelling for inclusive design under health and situational induced impairments: An overview

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2017 .

Sequential Inference of Rhythmic Structure in Musical Audio

Simon J. Godsill, Nick Whiteley, Ali Taylan Cemgil, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

An introduction to the theory and applications of simulation based computational methods in Bayesian

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

A BAYESIAN APPROACH TO TIME-FREQUENCY BASED BLIND SOURCE SEPARATION

Simon J. Godsill, Cédric Févotte, 2005 .

Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2015, HCI.

On the relationship between MCMC model uncertainty methods

Simon J. Godsill, S. Godsill, 1997 .

Sequential sparse system estimation for linear systems with nonlinear observations

Simon J. Godsill, James K. Murphy, S. Godsill, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone

Simon J. Godsill, Jan Skoglund, Herbert Buchner, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Monte Carlo smoothing with application to audio signal enhancement

Simon J. Godsill, W. Fong, A. Doucet, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

Tracking variable number of targets using sequential monte carlo methods

Simon J. Godsill, William Ng, Jack F. Li, 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.

Methodology for Monte Carlo smoothing with application to time-varying autoregressions

Simon J. Godsill, Michael A. West, Arnaud Doucet, 2000 .

Particle filtering with progressive Gaussian approximations to the optimal importance density

Simon J. Godsill, Pete Bunch, 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Road-assisted multiple target tracking in clutter

Simon J. Godsill, James K. Murphy, S. Godsill, 2014, 17th International Conference on Information Fusion (FUSION).

Multidimensional optimisation of harmonic signals

Simon J. Godsill, Peter J. W. Rayner, Paul J. Walmsley, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Simulation-based computational methods for Bayesian signal processing

Patrick Duvaut, Simon J. Godsill, Christophe Andrieu, 1998 .

Introduction to Compressed Sensing and Sparse Filtering

Simon J. Godsill, Lyudmila Mihaylova, Avishy Carmi, 2014 .

Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling

Simon J. Godsill, Tim Clapp, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters

Simon J. Godsill, Geliang Zhang, S. Godsill, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Particle Filtering and Inference for Limit Order Books in High Frequency Finance

Lin Li, Simon J. Godsill, Pinzhang Wang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Considering non-stationarity for blind signal separation

Simon J. Godsill, Pjw Rayner, A. Ahmed, 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).

Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment

Simon J. Godsill, Ali Taylan Cemgil, Søren Holdt Jensen, 2010, 2010 18th European Signal Processing Conference.

Fully Bayesian inference for α-stable distributions using a Poisson series representation

Simon J. Godsill, Tatjana Lemke, Marina Riabiz, 2015, Digit. Signal Process..

Simultaneous localization and mapping for non-parametric potential field environments

Simon J. Godsill, James K. Murphy, 2012, 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF).

Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2018, HCI.

Comparing solution methodologies for speech enhancement within a Bayesian framework

Simon J. Godsill, J. Vermaak, M Niranjan, 1998 .

A reversible jump sampler for autoregressive time series

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1997, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Variational and stochastic inference for Bayesian source separation

Simon J. Godsill, Ali Taylan Cemgil, Cédric Févotte, 2007, Digit. Signal Process..

Structure inference for networks with general non-parametric inter-object relationships

Simon J. Godsill, James K. Murphy, 2012, 2012 15th International Conference on Information Fusion.

Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data

Anil C. Kokaram, Simon J. Godsill, 1997, ICIAP.

Bayesian harmonic models for musical signal analysis

Simon J. Godsill, Manuel Davy, M. Davy, 2003 .

Multi-channel bayesian background noise suppression using perceptual cost functions

Simon J. Godsill, Han Lin, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Frequency-domain interpolation of sampled signals

Simon J. Godsill, Pjw Rayner, S. Godsill, 1993 .

Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2014, 17th International Conference on Information Fusion (FUSION).

Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems

Simon J. Godsill, James K. Murphy, S. Godsill, 2015, IEEE Journal of Selected Topics in Signal Processing.

Marginal MAP estimation using Markov chain Monte Carlo

Simon J. Godsill, Arnaud Doucet, Christian P. Robert, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Multi-channel blind signal separation by decorrelation

Simon J. Godsill, Pjw Rayner, D.C.B. Chan, 1995, Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Accoustics.

Probability Theory and Random Processes

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Real-time Bayesian GSM buzz removal

Simon J. Godsill, H Lin, 2006 .

On Destination Prediction Based on Markov Bridging Distributions

Simon J. Godsill, Jiaming Liang, Bashar I. Ahmad, 2019, IEEE Signal Processing Letters.

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2016, IEEE Transactions on Cybernetics.

Bayesian model selection for time series using Markov chain Monte Carlo

Simon J. Godsill, Paul T. Troughton, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Bayesian model selection for linear and non-linear time series using the Gibbs sampler

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1998 .

Gaussian mixture implementations of phd filters for non-linear dynamical models

Simon J. Godsill, Daniel E. Clark, Ba-Tuong Vo, 2008 .

Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo

Simon J. Godsill, Pete Bunch, S. Godsill, 2013, IEEE Transactions on Signal Processing.

A Bayesian Framework for Intent Prediction in Object Tracking

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpolation of missing data values for audio signal restoration using a Gabor regression model

Simon J. Godsill, Patrick J. Wolfe, S. Godsill, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Sparse structure inference for group and network tracking

Simon J. Godsill, James K. Murphy, Emre Özkan, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations

Petar M. Djuric, Simon J. Godsill, Peter J. W. Rayner, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Video tracking using dual-tree wavelet polar matching and particle filtering

Simon J. Godsill, James D. B. Nelson, Sze Kim Pang, 2008 .

Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2015, AutomotiveUI.

Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2017, 2017 20th International Conference on Information Fusion (Fusion).

A two-channel approach to the removal of impulsive noise from archived recordings

Simon J. Godsill, Christopher M. Hicks, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Reinforcement Learning and the Bayesian Control Rule

Simon J. Godsill, Daniel A. Braun, Pedro A. Ortega, 2011, AGI.

Markov chain Monte Carlo estimation for the seasonal autoregressive process with application to pitch modelling

Simon J. Godsill, J. Vermaak, M Niranjan, 1998 .

Efficient bridging-based destination inference in object tracking

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2018, AutomotiveUI.

Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes

Simon J. Godsill, Paul H. Peeling, S. Godsill, 2011, IEEE Journal of Selected Topics in Signal Processing.

The restoration of degraded audio signals

Simon J. Godsill, S. Godsill, 1993 .

Multiple dipolar sources localization for MEG using Bayesian particle filtering

Xi Chen, Simon J. Godsill, X. Chen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

High-resolution hyperspectral image fusion based on spectral unmixing

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A Bayesian approach to the restoration of degraded audio signals

Simon J. Godsill, Peter J. W. Rayner, S. Godsill, 1995, IEEE Trans. Speech Audio Process..

Marginal maximum a posteriori estimation using Markov chain Monte Carlo

Simon J. Godsill, Arnaud Doucet, Christian P. Robert, 2002, Stat. Comput..

Tracking of multiple contaminant clouds

Simon J. Godsill, François Septier, Avishy Carmi, 2009, 2009 12th International Conference on Information Fusion.

Implementation and Experimental Results for Bayesian Detection

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Robust treatment of impulsive noise in speech and audio signals

Simon J. Godsill, Peter J. W. Rayner, 1996 .

ON-LINE BAYESIAN METHODS FOR ESTIMATION OF NON-LINEAR NON-GAUSSIAN SIGNALS

Simon J. Godsill, S. Godsill, 2002 .

Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm

Simon J. Godsill, Cédric Févotte, 2006, ICA.

Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo

Simon J. Godsill, James K. Murphy, Pete Bunch, 2016, IEEE Transactions on Signal Processing.

Monte Carlo smoothing with application to audio signal enhancement

Simon J. Godsill, Arnaud Doucet, Mike West, 2002, IEEE Trans. Signal Process..

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking

Simon J. Godsill, Lyudmila Mihaylova, Amadou Gning, 2014, Digit. Signal Process..

Bayesian inference for multidimensional NMR image reconstruction

Simon J. Godsill, Ji Won Yoon, 2006, 2006 14th European Signal Processing Conference.

Sequential methods for DNA sequencing

Simon J. Godsill, Nicholas M. Haan, S. Godsill, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking

Simon J. Godsill, François Septier, Avishy Carmi, 2009, 2009 12th International Conference on Information Fusion.

Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods

Xi Chen, Simon J. Godsill, Simo Särkkä, 2013, Proceedings of the 16th International Conference on Information Fusion.

Bayesian computer-intensive methods for statistical signal processing

Simon J. Godsill, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

JOINT ACOUSTIC SOURCE LOCATION AND ORIENTATION ESTIMATION USING SEQUENTIAL MONTE CARLO

Simon J. Godsill, Andrew Blake, Maurice Fallon, 2006 .

An improved speech production model for voiced speech utilising seasonal AR-AR model and Markov chain Monte Carlo simulation

Simon J. Godsill, J. Vermaak, M Niranjan, 1998 .

A time-varying model for DNA sequencing data

Simon J. Godsill, Nicholas M. Haan, 2001, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563).

Frequency-based interpolation of sampled signals with applications in audio restoration

Simon J. Godsill, Peter J. W. Rayner, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Bayesian computational methods for sparse audio and music processing

Simon J. Godsill, Ali Taylan Cemgil, Patrick J. Wolfe, 2007, 2007 15th European Signal Processing Conference.

Radial basis function regression using trans-dimensional sequential Monte Carlo

Simon J. Godsill, Arnaud Doucet, J. Vermaak, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Multiple Object Tracking Using Evolutionary MCMC-Based Particle Algorithms

Simon J. Godsill, Avishy Carmi, Sze Kim Pang, 2009 .

An approximate likelihood method for estimating static parameters in multi-target tracking models

Simon J. Godsill, Nick Whiteley, Sumeetpal S. Singh, 2009 .

Extended object tracking with unknown association, missing observations, and clutter using particle filters

Simon J. Godsill, Norikazu Ikoma, N. Ikoma, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Chapter 4 – Bayesian Computational Methods in Signal Processing

Simon J. Godsill, S. Godsill, 2014 .

A Nonreference Image Fusion Metric Based on the Regional Importance Measure

Simon J. Godsill, Tapio Seppänen, Nedeljko Cvejic, 2009, IEEE Journal of Selected Topics in Signal Processing.

MCMC for joint noise reduction and missing data treatment in degraded video

Anil C. Kokaram, Simon J. Godsill, S. Godsill, 2002, IEEE Trans. Signal Process..

A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model

Simon J. Godsill, Jiaming Liang, S. Godsill, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Summary and Future Research Directions

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Compressed sensing and sparse filtering

Simon J. Godsill, Lyudmila Mihaylova, Avishy Carmi, 2013 .

Optimum Kernel Particle Filter for Asymmetric Laplace Noise

Simon J. Godsill, Ulrika Andersson, S. Godsill, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources

Simon J. Godsill, Patrick J. Wolfe, Cédric Févotte, 2004, ICA.

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods

Simon J. Godsill, Pini Gurfil, Lyudmila Mihaylova, 2013, Modeling, Simulation and Visual Analysis of Crowds.

A Bayesian Approach to Click Removal

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement

Simon J. Godsill, Patrick J. Wolfe, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

The Lévy State Space Model

Simon J. Godsill, Ioannis Kontoyiannis, Marina Riabiz, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes

Simon J. Godsill, Gary Yang, S. Godsill, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2019, Int. J. Mob. Hum. Comput. Interact..

Signal processing apparatus and method

Simon J. Godsill, Herbert Buchner, Karim Helwani, 2018 .

Multi-channel multi-tap signal separation by output decorrelation

Simon J. Godsill, Pjw Rayner, Dcb Chan, 1996 .

The Application of Psychoacoustic Criteria to the Restoration of Musical Recordings

Simon J. Godsill, Patrick J. Wolfe, S. Godsill, 2000 .

On sequential Monte Carlo sampling methods for Bayesian filtering

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000, Stat. Comput..

Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio

Simon J. Godsill, Bruno Torrésani, Laurent Daudet, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

A central limit theorem with application to inference in $\alpha$-stable regression models

Simon J. Godsill, Tohid Ardeshiri, Marina Riabiz, 2016, NIPS Time Series Workshop.

Bayesian model selection of autoregressive processes

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2000 .

A Probabilistic Framework for Matching Music Representations

Simon J. Godsill, Ali Taylan Cemgil, Paul H. Peeling, 2007, ISMIR.

On sequential simulation-based methods for Bayesian filtering

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

Particle methods for Bayesian modeling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 2002, IEEE Trans. Speech Audio Process..

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2011, IEEE Transactions on Signal Processing.

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension

Simon J. Godsill, William Fong, S. Godsill, 2002, 2002 11th European Signal Processing Conference.

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking?

Simon J. Godsill, Lyudmila Mihaylova, François Septier, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Acoustic Source Localization and Tracking Using Track Before Detect

Simon J. Godsill, Maurice F. Fallon, S. Godsill, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Polyphonic pitch tracking using joint Bayesian estimation of multiple frame parameters

Simon J. Godsill, Pjw Rayner, Paul Joseph Walmsley, 1999, Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452).

Bayesian extensions to non-negative matrix factorisation for audio signal modelling

Simon J. Godsill, Ali Taylan Cemgil, Tuomas Virtanen, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters

Simon J. Godsill, James K. Murphy, Emmanuel A. Stamatakis, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Models and algorithms for tracking using trans-dimensional sequential Monte Carlo

Simon J. Godsill, Jaco Vermaak, S. Godsill, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A Bayesian Approach for Blind Separation of Sparse Sources

Simon J. Godsill, Cédric Févotte, C. Févotte, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Destination inference using bridging distributions

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Computational Modeling of Musical Signals

Simon J. Godsill, 2004 .

Bayesian parameter estimation of Jump-Langevin systems for trend following in finance

Simon J. Godsill, James K. Murphy, S. Godsill, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian estimation of simultaneous musical notes based on frequency domain modelling

Kunio Kashino, Simon J. Godsill, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Parameter Estimation, Model Selection and Classification

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Robust noise modelling with application to audio restoration

Simon J. Godsill, Pjw Rayner, 1995, Proceedings of 1995 Workshop on Applications of Signal Processing to Audio and Accoustics.

Blind model-based fusion of multi-band and panchromatic images

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models

Simon J. Godsill, Fredrik Lindsten, Thomas B. Schön, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Predictive Pointing from Automotive to Inclusive Design

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2016, HCI.

Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective

Simon J. Godsill, Patrick Langdon, Julie R. Jupp, 2007, HCI.

Tracking variable number of targets using sequential Monte Carlo methods

Simon J. Godsill, J. Vermaak, W. Ng, 2005 .

Removal of low frequency transient noise from old recordings using model-based signal separation techniques

Simon J. Godsill, C. H. Tan, 1997, Proceedings of 1997 Workshop on Applications of Signal Processing to Audio and Acoustics.

A Bayesian approach to the detection and correction of error bursts in audio signals

Simon J. Godsill, Pjw Rayner, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods

Simon J. Godsill, James K. Murphy, Emmanuel A. Stamatakis, 2016, IEEE Journal of Selected Topics in Signal Processing.

Bayesian hierarchical models and inference for musical audio processing

Simon J. Godsill, Ali Taylan Cemgil, Paul H. Peeling, 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

Bayesian Inference for 2D Gel Electrophoresis Image Analysis

Tae-Seong Kim, Simon J. Godsill, Ji Won Yoon, 2007, BIRD.

Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods

Simon J. Godsill, William Ng, Jack F. Li, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

User Target Intention Recognition from Cursor Position Using Kalman Filter

Simon J. Godsill, Patrick Langdon, Gökçen Aslan Aydemir, 2013, HCI.

On a new stochastic version of the EM algorithm

Simon J. Godsill, Colin Campbell, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Sparse Regression with Structured Priors: Application to Audio Denoising

Simon J. Godsill, Bruno Torrésani, Laurent Daudet, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Bayesian harmonic models for musical pitch estimation and analysis

Simon J. Godsill, Manuel Davy, M. Davy, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Restoration of Nonlinearly Distorted Audio Using Markov Chain Monte Carlo Methods

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1998 .

Restoration of Coarsely Quantized Audio Signals Using Markov Chain Monte Carlo Methods

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1999 .

Poisson models for extended target and group tracking

Simon J. Godsill, Simon Maskell, Kevin Gilholm, 2005, SPIE Optics + Photonics.

A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity

Simon J. Godsill, James K. Murphy, Emmanuel A. Stamatakis, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Graphical Models for Polyphonic Pitch Tracking

Simon J. Godsill, Peter J. W. Rayner, Paul Joseph Walmsley, 1999 .

Multiple object tracking using evolutionary and hybrid mcmc-based particle algorithms

Simon J. Godsill, Avishy Carmi, Sze Kim Pang, 2009 .

Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement

Simon J. Godsill, Patrick J. Wolfe, S. Godsill, 2003, EURASIP J. Adv. Signal Process..

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio

Simon J. Godsill, William Fong, S. Godsill, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models

Simon J. Godsill, Tatjana Lemke, S. Godsill, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian methods in signal and image processing

Simon J. Godsill, Anil Kokaram, William J. Fitzgerald, 1999 .

An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model

Simon J. Godsill, Jan Skoglund, Herbert Buchner, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters

Simon J. Godsill, William Ng, Jack F. Li, 2007, Proceedings of the IEEE.

Fully Bayesian Restoration using EM and MCMC

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds

Simon J. Godsill, Herbert Buchner, Karim Helwani, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fixed-lag smoothing using sequential importance sampling

Simon J. Godsill, T. C. Clapp, 1999 .

Bayesian detection of single-trial event-related potentials

Simon J. Godsill, William J. Fitzgerald, Maria Rosario Mestre, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequential Monte Carlo framework for extended object tracking

Simon J. Godsill, N. Ikoma, J. Vermaak, 2005 .

MCMC methods for restoration of nonlinearly distorted autoregressive signals

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

Joint noise reduction, motion estimation, missing data reconstruction, and model parameter estimation for degraded motion pictures

Simon J. Godsill, Anil Kokaram, S. Godsill, 1998, Optics & Photonics.

Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model

Simon J. Godsill, Ali Taylan Cemgil, Søren Holdt Jensen, 2011, IEEE Transactions on Audio, Speech, and Language Processing.

Rao-Blackwellised particle filter for star-convex extended target tracking models

Simon J. Godsill, Emre Özkan, Niklas Wahlstrom, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering

Nick G. Kingsbury, Simon J. Godsill, James D. B. Nelson, 2008, 2008 11th International Conference on Information Fusion.

Efficient filtering and sampling for a class of time-varying linear systems

Simon J. Godsill, James K. Murphy, S. Godsill, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The shifted inverse-gamma model for noise-floor estimation in archived audio recordings

Simon J. Godsill, 2010, Signal Process..

Audio Signal Processing Using Complex Wavelets

Simon J. Godsill, Patrick J. Wolfe, S. Godsill, 2003 .

Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation

Simon J. Godsill, Manuel Davy, M. Davy, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Modelling electropherogram data for DNA sequencing using variable dimension MCMC

Simon J. Godsill, Nicholas M. Haan, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Joint Bayesian removal of impulse and background noise

Simon J. Godsill, James K. Murphy, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes

Simon J. Godsill, Marina Riabiz, S. Godsill, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ground target modelling, tracking and prediction with road networks

Simon J. Godsill, Richard B. Vinter, Martin Clark, 2007, 2007 10th International Conference on Information Fusion.

Detection and Tracking of Coordinated Groups

Simon J. Godsill, Sze Kim Pang, Jack F. Li, 2011, IEEE Transactions on Aerospace and Electronic Systems.

An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo

Simon J. Godsill, Eric Moulines, Olivier Cappé, 2007, Proceedings of the IEEE.

The Third International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Petar M. Djuric, Yonina C. Eldar, Jian Li, 2009 .

Bayesian Modelling of Temporal Structure in Musical Audio

Simon J. Godsill, Nick Whiteley, Ali Taylan Cemgil, 2006, ISMIR.

Bayesian Image Modeling of cDNA Microarray Spots

Simon J. Godsill, Gerard R. Ridgway, S. Godsill, 2007, IEEE Signal Processing Letters.

A Bayesian compressed sensing Kalman filter for direction of arrival estimation

Simon J. Godsill, Lyudmila Mihaylova, Matthew B. Hawes, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter

Nick G. Kingsbury, Simon J. Godsill, James D. B. Nelson, 2010, EURASIP J. Adv. Signal Process..

A Bayesian particle filtering method for brain source localisation

Xi Chen, Simon J. Godsill, Simo Särkkä, 2014, Digit. Signal Process..

Monte Carlo Filtering of Piecewise Deterministic Processes

Simon J. Godsill, Nick Whiteley, Adam M. Johansen, 2011 .

On-line Bayesian estimation of signals in symmetric /spl alpha/-stable noise

Simon J. Godsill, Marco J. Lombardi, S. Godsill, 2006, IEEE Transactions on Signal Processing.

Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering

Simon J. Godsill, Bashar I. Ahmad, Herbert Buchner, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Statistical estimation of user's interactions from motion impaired cursor use data

Simon J. Godsill, Patrick Langdon, Pj Clarkson, 2006 .

Proc. of the Int. Conf. on Digital Audio Effects (DAFx-06)

Simon J. Godsill, Andrew Blake, Maurice Fallon, 2006 .

Statistical gear health analysis which is robust to fluctuating loads and operating speeds

Simon J. Godsill, P. S. Heyns, P. S. Heyns, 2012 .

A Correction Note for Price Dynamics in a Markovian Limit Order Market

Simon J. Godsill, Guolong Li, Geliang Zhang, 2016, SIAM J. Financial Math..

Removal of Clicks

Simon J. Godsill, Peter J. W. Rayner, 1998 .

MCMC methods for restoration of quantised time series

Simon J. Godsill, Paul T. Troughton, S. Godsill, 1999, NSIP.

Blind equalization and sequence estimation using Markov chain Monte Carlo methods

Simon J. Godsill, Tc Clapp, 1998 .

Enhanced Poisson sum representation for alpha-stable processes

Simon J. Godsill, Tatjana Lemke, S. Godsill, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Simulated convergence rates with application to an intractable α-stable inference problem

Simon J. Godsill, Tohid Ardeshiri, Ioannis Kontoyiannis, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

A Meta-Tracking Approach for Predicting the Driver or Passenger Intent

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Bayesian Sequential Click Removal

Simon J. Godsill, Peter J. W. Rayner, 1998 .

Audio signal enhancement using a block-sequential Gabor regression scheme

Simon J. Godsill, Patrick J. Wolfe, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Monte Carlo filtering and smoothing with application to time-varying spectral estimation

Simon J. Godsill, Arnaud Doucet, Mike West, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Guest editorial special issue on monte carlo methods for statistical signal processing

Petar M. Djuric, Simon J. Godsill, S. Godsill, 2002, IEEE Trans. Signal Process..

Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC

Simon J. Godsill, Pete Bunch, 2010, CMMR.

Point process MCMC for sequential music transcription

Simon J. Godsill, Pete Bunch, S. Godsill, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compressed Sensing & Sparse Filtering

Simon J. Godsill, Lyudmila Mihaylova, Avishy Carmi, 2013 .

Digital audio restoration

Simon J. Godsill, Peter J. W. Rayner, Olivier Cappé, 1998 .

Multi-channel signal separation

Simon J. Godsill, Peter J. W. Rayner, Dominic C. B. Chan, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Gaussian flow sigma point filter for nonlinear Gaussian state-space models

Simon J. Godsill, Henri Nurminen, Robert Piché, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Dynamical models for tracking with the variable rate particle filter

Simon J. Godsill, Pete Bunch, 2012, 2012 15th International Conference on Information Fusion.

Bayesian modelling of time-frequency coefficients for audio signal enhancement

Simon J. Godsill, Monika Dörfler, Patrick J. Wolfe, 2003 .

Bayesian models for DNA sequencing

Simon J. Godsill, Nicholas M. Haan, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Generative Spectrogram Factorization Models for Polyphonic Piano Transcription

Simon J. Godsill, Ali Taylan Cemgil, Paul H. Peeling, 2010, IEEE Transactions on Audio, Speech, and Language Processing.

Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers

Simon J. Godsill, Maurice F. Fallon, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Particle Smoothing Algorithms for Variable Rate Models

Simon J. Godsill, Pete Bunch, S. Godsill, 2013, IEEE Transactions on Signal Processing.

Bayesian statistical methods for audio and music processing

Simon J. Godsill, Nick Whiteley, A. Taylan Cemgil, 2018, Oxford Handbooks Online.

Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase

Simon J. Godsill, Bashar I. Ahmad, Jiaming Liang, 2020, Data-Centric Engineering.

MCMC-based tracking and identification of leaders in groups

Simon J. Godsill, Pini Gurfil, Lyudmila Mihaylova, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Inference in symmetric alpha-stable noise using MCMC and the slice sampler

Simon J. Godsill, S. Godsill, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Estimation of CAR processes observed in noise using Bayesian inference

Simon J. Godsill, Panagiotis Giannopoulos, S. Godsill, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods

Simon J. Godsill, Sze Kim Pang, William Ng, 2007, Comput. J..

A perceptually balanced loss function for short-time spectral amplitude estimation

Simon J. Godsill, Patrick J. Wolfe, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

The restoration of pitch variation defects in gramophone recordings

Simon J. Godsill, Pjw Rayner, 1993, Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Bayesian separation and recovery of convolutively mixed autoregressive sources

Simon J. Godsill, Christophe Andrieu, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Sparse linear regression in unions of bases via Bayesian variable selection

Simon J. Godsill, Cédric Févotte, C. Févotte, 2006, IEEE Signal Processing Letters.

Intent Recognition Using Neural Networks and Kalman Filters

Simon J. Godsill, Patrick Langdon, Pradipta Biswas, 2013, CHI-KDD.

D-10: A Perceptually Balanced Loss Function for Short-Tie

Simon J. Godsill, Patrick J. Wolfe, S. Godsill, 2003 .

Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints

Simon J. Godsill, James K. Murphy, Pete Bunch, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler

Simon J. Godsill, Peter J. W. Rayner, S. Godsill, 1998, IEEE Trans. Speech Audio Process..

Monte Carlo smoothing for non-linearly distorted signals

Simon J. Godsill, William Fong, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Bayesian classification of acoustical waveforms under environmental variability

Simon J. Godsill, Jens E. N. Christensen, S. Godsill, 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

Audio Signal Modelling Using Bayesian Atomic Decompositions

Simon J. Godsill, Patrick J. Wolfe, Patrick J. Wolfe, 2002 .

Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement

Simon J. Godsill, Patrick J. Wolfe, 2002, NIPS.

Audio information retrieval: a bibliographical study

Simon J. Godsill, Manuel Davy, M. Davy, 2002 .

Tracking pitch period using particle filters

Simon J. Godsill, Geliang Zhang, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction

Simon J. Godsill, Jichi Deng, S. Godsill, 2013, 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

Robust modelling of noisy ARMA signals

Simon J. Godsill, S. Godsill, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Convergence results for tractable inference in α-stable stochastic processes

Simon J. Godsill, Tohid Ardeshiri, Marina Riabiz, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions

Simon J. Godsill, Tatjana Lemke, S. Godsill, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequential Ba yesian kernel regression

Simon J. Godsill, Arnaud Doucet, J. Vermaak, 2004, NIPS 2004.

Blind separation of sparse sources using variational EM

Simon J. Godsill, Ali Taylan Cemgil, Cédric Févotte, 2005, 2005 13th European Signal Processing Conference.

Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise

Simon J. Godsill, Tohid Ardeshiri, Ioannis Kontoyiannis, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking

Simon J. Godsill, Jiaming Liang, S. Godsill, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evolving networks for group object motion estimation

Simon J. Godsill, Simon Maskell, Lyudmila Mihaylova, 2008 .

Driver and Passenger Identification From Smartphone Data

Simon J. Godsill, Bashar I. Ahmad, Patrick M. Langdon, 2019, IEEE Transactions on Intelligent Transportation Systems.

Intelligent Finger Movement Controlled Interface for Automotive Environment

Simon J. Godsill, Pradipta Biswas, Samuel Twist, 2017, BCS HCI.

You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2016, AutomotiveUI.

Source Term Estimation and Plume Tracking

Simon J. Godsill, Francois Septier, 2009 .

Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics

Simon J. Godsill, James K. Murphy, Hugh L. Christensen, 2012, IEEE Journal of Selected Topics in Signal Processing.

Probabilistic phase vocoder and its application to interpolation of missing values in audio signals

Simon J. Godsill, Ali Taylan Cemgil, S. Godsill, 2005, 2005 13th European Signal Processing Conference.

Recursive decorrelation for blind convolutive signal separation

Simon J. Godsill, Pjw Rayner, A. Ahmed, 1999 .

Improvement Strategies for Monte Carlo Particle Filters

Simon J. Godsill, Tim Clapp, S. Godsill, 2001, Sequential Monte Carlo Methods in Practice.

Bayesian Enhancement of Speech and Audio Signals which can be Modelled as ARMA Processes

Simon J. Godsill, S. Godsill, 1997 .

An introduction to the theory and applications of simulation based computational methods in Bayesian signal processing

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1998 .

Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes

Simon J. Godsill, Roland Hostettler, Simo Särkkä, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models

Simon J. Godsill, Fredrik Lindsten, Thomas B. Schön, 2015, IEEE Journal of Selected Topics in Signal Processing.

Non-stationary Bayesian modelling and enhancement of speech signals

Simon J. Godsill, Christophe Andrieu, Arnaud Doucet, 1999 .

Nonasymptotic Gaussian Approximation for Inference With Stable Noise

Simon J. Godsill, Tohid Ardeshiri, Ioannis Kontoyiannis, 2018, IEEE Transactions on Information Theory.

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, IEEE Signal Processing Letters.

Recursive restoration of pitch variation defects in musical recordings

Simon J. Godsill, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks

Simon J. Godsill, Bashar I. Ahmad, Patrick Langdon, 2014, HCI.

Perceptually Motivated Approaches to Music Restoration

Simon J. Godsill, Patrick J. Wolfe, 2001 .

Statistical Model-Based Approaches to Audio Restoration and Analysis

Simon J. Godsill, William Fong, Patrick J. Wolfe, 2001 .

Joint interpolation, motion and parameter estimation for image sequences with missing data

Anil C. Kokaram, Simon J. Godsill, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

Particle Filtering: the First 25 Years and beyond

Simon J. Godsill, S. Godsill, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequential Bayesian Kernel Regression

Simon J. Godsill, Arnaud Doucet, Jaco Vermaak, 2003, NIPS.

Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive

Lee Skrypchuk, Simon J. Godsill, Bashar I. Ahmad, 2018, AutomotiveUI.

Robust reconstruction and analysis of autoregressive signals in impulsive noise signals using Gibbs sampler

Simon J. Godsill, Pjw Rayner, S. Godsill, 1995 .

Sequential Inference Methods for Non-Homogeneous Poisson Processes with State-Space Prior

Simon J. Godsill, Chenhao Li, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ground target group structure and state estimation with particle filtering

Simon J. Godsill, Lyudmila Mihaylova, Simon Maskell, 2008, 2008 11th International Conference on Information Fusion.

BAYESIAN MODELLING OF HARMONIC SIGNALS FOR POLYPHONIC MUSIC TRACKING

Simon J. Godsill, Peter J. W. Rayner, Paul Joseph Walmsley, 1999 .

Foreword to the Special Section on Meta-Level and Adversarial Tracking

Simon J. Godsill, Bashar I. Ahmad, Peter Willett, 2021, IEEE Trans. Aerosp. Electron. Syst..

Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods

Simon J. Godsill, Bashar I. Ahmad, B. I. Ahmad, 2021, IEEE Transactions on Aerospace and Electronic Systems.

Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering

Simon J. Godsill, Chenhao Li, S. Godsill, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Time Series Models: Sequential inference for dynamically evolving groups of objects

Simon J. Godsill, Sze Kim Pang, Francois Septier, 2011 .

Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning

Simon J. Godsill, Pini Gurfil, Lyudmila Mihaylova, 2013 .

Dicussion on the meeting on ‘Statistical approaches to inverse problems’

Simon J. Godsill, Dan Cornford, Eric Moulines, 2004 .

Statistical Reconstruction and Analysis of Autoregressive Signals in Impulsive Noise Statistical Reconstruction and Analysis of Autoregressive Signals in Impulsive Noise

Simon J. Godsill, S. Godsill, 1998 .

Multiple and extended object tracking with Poisson spatial processes and variable rate filters

Simon J. Godsill, W. Ng, J. Li, 2005, 1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005..

Bayesian Inference for Continuous-Time ARMA Models Driven by Jump Diffusions

Simon J. Godsill, S. Godsill, Gary Yang, 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

Gaussian Mixture implementations of Probability Hypothesis Density filters for non-linear dynamical models

Simon J. Godsill, Ba-Ngu Vo, Daniel E. Clark, 2008 .

Convergence of the auxiliary particle implementation of the PHD filter

Simon J. Godsill, Nick Whiteley, Sumeetpal S. Singh, 2008 .

Inference for models with asymmetric α -stable noise processes

Simon J. Godsill, Tatjana Lemke, S. Godsill, 2015 .

If and When a Driver or Passenger is Returning to Vehicle: Framework to Infer Intent and Arrival Time

Simon J. Godsill, Bashar I. Ahmad, Thomas Popham, 2017, 1709.07381.

Discussion of `Trans-dimensional Markov chain Monte Carlo'

Simon J. Godsill, S. Godsill, 2003 .

Bayesian space‐time processing for acoustic array source estimation using a towed array

Simon J. Godsill, James V. Candy, 2006 .

Particle filters for continuous-time jump models in tracking applications

Simon J. Godsill, S. Godsill, 2007 .

Visual tracking of partially observable targets with suboptimal filtering

Simon J. Godsill, Ming Xu, Tim Ellis, 2011 .