A Bayesian approach to the detection and correction of error bursts in audio signals. - Simon J. Godsill; Peter J. W. Rayner (ICASSP, 1992)

Frequency-based interpolation of sampled signals with applications in audio restoration. - Simon J. Godsill; Peter J. W. Rayner (ICASSP (1), 1993)

Recursive restoration of pitch variation defects in musical recordings. - Simon J. Godsill (ICASSP (2), 1994)

A two-channel approach to the removal of impulsive noise from archived recordings. - Christopher M. Hicks; Simon J. Godsill (ICASSP (2), 1994)

A Bayesian approach to the restoration of degraded audio signals. - Simon J. Godsill; Peter J. W. Rayner (IEEE Trans. Speech Audio Process., 1995)

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 (ECCV (2), 1996)

Joint interpolation, motion and parameter estimation for image sequences with missing data. - Simon J. Godsill; Anil C. Kokaram (EUSIPCO, 1996)

Multi-channel signal separation. - Dominic C. B. Chan; Peter J. W. Rayner; Simon J. Godsill (ICASSP, 1996)

Robust noise reduction for speech and audio signals. - Simon J. Godsill; Peter J. W. Rayner (ICASSP, 1996)

Robust modelling of noisy ARMA signals. - Simon J. Godsill (ICASSP, 1997)

Bayesian model selection for time series using Markov chain Monte Carlo. - Paul T. Troughton; Simon J. Godsill (ICASSP, 1997)

Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data. - Anil C. Kokaram; Simon J. Godsill (ICIAP (2), 1997)

Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data. - Anil C. Kokaram; Simon J. Godsill (ICIP (2), 1997)

On a new stochastic version of the EM algorithm. - Colin Campbell; Simon J. Godsill (EUSIPCO, 1998)

Multidimensional optimisation of harmonic signals. - Paul J. Walmsley; Simon J. Godsill; Peter J. W. Rayner (EUSIPCO, 1998)

Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations. - Petar M. Djuric; Simon J. Godsill; William J. Fitzgerald 001; Peter J. W. Rayner (ICASSP, 1998)

A reversible jump sampler for autoregressive time series. - Paul T. Troughton; Simon J. Godsill (ICASSP, 1998)

Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler. - Simon J. Godsill; Peter J. W. Rayner (IEEE Trans. Speech Audio Process., 1998)

Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling. - Tim Clapp; Simon J. Godsill (ICASSP, 1999)

Bayesian separation and recovery of convolutively mixed autoregressive sources. - Simon J. Godsill; Christophe Andrieu (ICASSP, 1999)

Marginal MAP estimation using Markov chain Monte Carlo. - Christian P. Robert; Arnaud Doucet; Simon J. Godsill (ICASSP, 1999)

MCMC methods for restoration of quantised time series. - Paul T. Troughton; Simon J. Godsill (NSIP, 1999)

Monte Carlo filtering and smoothing with application to time-varying spectral estimation. - Arnaud Doucet; Simon J. Godsill; Mike West (ICASSP, 2000)

Inference in symmetric alpha-stable noise using MCMC and the slice sampler. - Simon J. Godsill (ICASSP, 2000)

Modelling electropherogram data for DNA sequencing using variable dimension MCMC. - Nicholas M. Haan; Simon J. Godsill (ICASSP, 2000)

Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement. - Patrick J. Wolfe; Simon J. Godsill (ICASSP, 2000)

On sequential Monte Carlo sampling methods for Bayesian filtering. - Arnaud Doucet; Simon J. Godsill; Christophe Andrieu (Stat. Comput., 2000)

Improvement Strategies for Monte Carlo Particle Filters. - Simon J. Godsill; Tim Clapp (Sequential Monte Carlo Methods in Practice, 2001)

Monte Carlo smoothing for non-linearly distorted signals. - William Fong; Simon J. Godsill (ICASSP, 2001)

Estimation of CAR processes observed in noise using Bayesian inference. - Panagiotis Giannopoulos; Simon J. Godsill (ICASSP, 2001)

Sequential methods for DNA sequencing. - Nicholas M. Haan; Simon J. Godsill (ICASSP, 2001)

MCMC methods for restoration of nonlinearly distorted autoregressive signals. - Paul T. Troughton; Simon J. Godsill (Signal Process., 2001)

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension. - William Fong; Simon J. Godsill (EUSIPCO, 2002)

Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation. - Manuel Davy; Simon J. Godsill (ICASSP, 2002)

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio. - William Fong; Simon J. Godsill (ICASSP, 2002)

Bayesian harmonic models for musical pitch estimation and analysis. - Simon J. Godsill; Manuel Davy (ICASSP, 2002)

Bayesian models for DNA sequencing. - Nicholas M. Haan; Simon J. Godsill (ICASSP, 2002)

Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement. - Patrick J. Wolfe; Simon J. Godsill (NIPS, 2002)

Marginal maximum a posteriori estimation using Markov chain Monte Carlo. - Arnaud Doucet; Simon J. Godsill; Christian P. Robert (Stat. Comput., 2002)

Particle methods for Bayesian modeling and enhancement of speech signals. - Jaco Vermaak; Christophe Andrieu; Arnaud Doucet; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2002)

Guest editorial special issue on monte carlo methods for statistical signal processing. - Petar M. Djuric; Simon J. Godsill (IEEE Trans. Signal Process., 2002)

Monte Carlo smoothing with application to audio signal enhancement. - William Fong; Simon J. Godsill; Arnaud Doucet; Mike West (IEEE Trans. Signal Process., 2002)

MCMC for joint noise reduction and missing data treatment in degraded video. - Anil C. Kokaram; Simon J. Godsill (IEEE Trans. Signal Process., 2002)

A perceptually balanced loss function for short-time spectral amplitude estimation. - Patrick J. Wolfe; Simon J. Godsill (ICASSP (5), 2003)

Sequential Bayesian Kernel Regression. - Jaco Vermaak; Simon J. Godsill; Arnaud Doucet (NIPS, 2003)

Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement. - Patrick J. Wolfe; Simon J. Godsill (EURASIP J. Adv. Signal Process., 2003)

Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise. - Marco J. Lombardi; Simon J. Godsill (EUSIPCO, 2004)

Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources. - Cédric Févotte; Simon J. Godsill; Patrick J. Wolfe (ICA, 2004)

Models and algorithms for tracking using trans-dimensional sequential Monte Carlo. - Simon J. Godsill; Jaco Vermaak (ICASSP (3), 2004)

Bayesian estimation of simultaneous musical notes based on frequency domain modelling. - Kunio Kashino; Simon J. Godsill (ICASSP (4), 2004)

Editorial. - Petar M. Djuric; Simon J. Godsill; Arnaud Doucet (EURASIP J. Adv. Signal Process., 2004)

Blind separation of sparse sources using variational EM. - Ali Taylan Cemgil; Cédric Févotte; Simon J. Godsill (EUSIPCO, 2005)

Probabilistic phase vocoder and its application to interpolation of missing values in audio signals. - Ali Taylan Cemgil; Simon J. Godsill (EUSIPCO, 2005)

Tracking variable number of targets using sequential Monte Carlo methods. - William Ng; Jack Li 003; Simon J. Godsill; Jaco Vermaak (EUSIPCO, 2005)

Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods. - William Ng; Jack Li 003; Simon J. Godsill; Jaco Vermaak (ICASSP (4), 2005)

Interpolation of missing data values for audio signal restoration using a Gabor regression model. - Patrick J. Wolfe; Simon J. Godsill (ICASSP (5), 2005)

Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model. - William Ng; Sze Kim Pang; Jack Li 003; Simon J. Godsill (EUSIPCO, 2006)

Bayesian inference for multidimensional NMR image reconstruction. - Ji Won Yoon; Simon J. Godsill (EUSIPCO, 2006)

Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm. - Cédric Févotte; Simon J. Godsill (ICA, 2006)

Sparse Regression with Structured Priors: Application to Audio Denoising. - Cédric Févotte; Laurent Daudet; Simon J. Godsill; Bruno Torrésani (ICASSP (3), 2006)

Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes. - Simon J. Godsill; Gary (Ligong) Yang (ICASSP (5), 2006)

Bayesian Modelling of Temporal Structure in Musical Audio. - Nick Whiteley; Ali Taylan Cemgil; Simon J. Godsill (ISMIR, 2006)

Sparse linear regression in unions of bases via Bayesian variable selection. - Cédric Févotte; Simon J. Godsill (IEEE Signal Process. Lett., 2006)

A Bayesian Approach for Blind Separation of Sparse Sources. - Cédric Févotte; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2006)

On-line Bayesian estimation of signals in symmetric α-stable noise. - Marco J. Lombardi; Simon J. Godsill (IEEE Trans. Signal Process., 2006)

Bayesian Inference for 2D Gel Electrophoresis Image Analysis. - Ji Won Yoon; Simon J. Godsill; ChulHun Kang; Tae-Seong Kim 001 (BIRD, 2007)

Bayesian computational methods for sparse audio and music processing. - Simon J. Godsill; Ali Taylan Cemgil; Cédric Févotte; Patrick J. Wolfe (EUSIPCO, 2007)

Ground target modelling, tracking and prediction with road networks. - David Salmond; Martin Clark; Richard Vinter; Simon J. Godsill (FUSION, 2007)

Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective. - Julie R. Jupp; Patrick Langdon; Simon J. Godsill (HCI (5), 2007)

Sequential Inference of Rhythmic Structure in Musical Audio. - Nick Whiteley; A. Taylan Cemgil; Simon J. Godsill (ICASSP (4), 2007)

A Probabilistic Framework for Matching Music Representations. - Paul H. Peeling; Ali Taylan Cemgil; Simon J. Godsill (ISMIR, 2007)

Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods. - William Ng; Jack Li 003; Simon J. Godsill; Sze Kim Pang (Comput. J., 2007)

Variational and stochastic inference for Bayesian source separation. - Ali Taylan Cemgil; Cédric Févotte; Simon J. Godsill (Digit. Signal Process., 2007)

An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo. - Olivier Cappé; Simon J. Godsill; Eric Moulines (Proc. IEEE, 2007)

Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters. - Simon J. Godsill; Jaco Vermaak; William Ng; Jack F. Li (Proc. IEEE, 2007)

Bayesian Image Modeling of cDNA Microarray Spots. - Gerard R. Ridgway; Simon J. Godsill (IEEE Signal Process. Lett., 2007)

Ground target group structure and state estimation with particle filtering. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (FUSION, 2008)

Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering. - James D. B. Nelson; Sze Kim Pang; Nick G. Kingsbury; Simon J. Godsill (FUSION, 2008)

Multi-channel bayesian background noise suppression using perceptual cost functions. - Han Lin; Simon J. Godsill (ICASSP, 2008)

Bayesian extensions to non-negative matrix factorisation for audio signal modelling. - Tuomas Virtanen; Ali Taylan Cemgil; Simon J. Godsill (ICASSP, 2008)

Bayesian hierarchical models and inference for musical audio processing. - Paul H. Peeling; A. Taylan Cemgil; Simon J. Godsill (ISWPC, 2008)

Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio. - Cédric Févotte; Bruno Torrésani; Laurent Daudet; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2008)

Tracking of multiple contaminant clouds. - François Septier; Avishy Carmi; Simon J. Godsill (FUSION, 2009)

Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter. - Sze Kim Pang; James D. B. Nelson; Simon J. Godsill; Nick G. Kingsbury (EURASIP J. Adv. Signal Process., 2009)

A Nonreference Image Fusion Metric Based on the Regional Importance Measure. - Nedeljko Cvejic; Tapio Seppänen; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2009)

Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC. - Pete Bunch; Simon J. Godsill (CMMR, 2010)

Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment. - Jesper Kjær Nielsen; Mads Græsbøll Christensen; Ali Taylan Cemgil; Simon J. Godsill; Søren Holdt Jensen (EUSIPCO, 2010)

The shifted inverse-gamma model for noise-floor estimation in archived audio recordings. - Simon J. Godsill (Signal Process., 2010)

Acoustic Source Localization and Tracking Using Track Before Detect. - Maurice F. Fallon; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2010)

Generative Spectrogram Factorization Models for Polyphonic Piano Transcription. - Paul H. Peeling; Ali Taylan Cemgil; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2010)

Reinforcement Learning and the Bayesian Control Rule. - Pedro Alejandro Ortega; Daniel Alexander Braun; Simon J. Godsill (AGI, 2011)

Point process MCMC for sequential music transcription. - Pete Bunch; Simon J. Godsill (ICASSP, 2011)

Enhanced Poisson sum representation for alpha-stable processes. - Tatjana Lemke; Simon J. Godsill (ICASSP, 2011)

Joint Bayesian removal of impulse and background noise. - James K. Murphy; Simon J. Godsill (ICASSP, 2011)

MCMC-based tracking and identification of leaders in groups. - Avishy Carmi; Lyudmila Mihaylova; François Septier; Sze Kim Pang; Pini Gurfil; Simon J. Godsill (ICCV Workshops, 2011)

Bayesian classification of acoustical waveforms under environmental variability. - Jens E. N. Christensen; Simon J. Godsill (WASPAA, 2011)

Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes. - Paul H. Peeling; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2011)

Detection and Tracking of Coordinated Groups. - Sze Kim Pang; Jack Li 003; Simon J. Godsill (IEEE Trans. Aerosp. Electron. Syst., 2011)

Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model. - Jesper Kjær Nielsen; Mads Græsbøll Christensen; Ali Taylan Cemgil; Simon J. Godsill; Søren Holdt Jensen (IEEE Trans. Speech Audio Process., 2011)

Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. - Amadou Gning; Lyudmila Mihaylova; Simon Maskell; Sze Kim Pang; Simon J. Godsill (IEEE Trans. Signal Process., 2011)

Dynamical models for tracking with the variable rate particle filter. - Pete Bunch; Simon J. Godsill (FUSION, 2012)

Structure inference for networks with general non-parametric inter-object relationships. - James K. Murphy; Simon J. Godsill (FUSION, 2012)

Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models. - Tatjana Lemke; Simon J. Godsill (ICASSP, 2012)

Simultaneous localization and mapping for non-parametric potential field environments. - James K. Murphy; Simon J. Godsill (SDF, 2012)

The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking. - Avishy Carmi; François Septier; Simon J. Godsill (Autom., 2012)

Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics. - Hugh L. Christensen; James K. Murphy; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2012)

Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers. - Maurice F. Fallon; Simon J. Godsill (IEEE Trans. Speech Audio Process., 2012)

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods. - Avishy Y. Carmi; Lyudmila Mihaylova; François Septier; Sze Kim Pang; Pini Gurfil; Simon J. Godsill (Modeling, Simulation and Visual Analysis of Crowds, 2013)

Particle filtering with progressive Gaussian approximations to the optimal importance density. - Pete Bunch; Simon J. Godsill (CAMSAP, 2013)

Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods. - Xi Chen 042; Simo Särkkä; Simon J. Godsill (FUSION, 2013)

User Target Intention Recognition from Cursor Position Using Kalman Filter. - Gökçen Aslan Aydemir; Patrick M. Langdon; Simon J. Godsill (HCI (6), 2013)

Multiple dipolar sources localization for MEG using Bayesian particle filtering. - Xi Chen 042; Simon J. Godsill (ICASSP, 2013)

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. - Fredrik Lindsten; Pete Bunch; Simon J. Godsill; Thomas B. Schön (ICASSP, 2013)

Intent Recognition Using Neural Networks and Kalman Filters. - Pradipta Biswas; Gökçen Aslan Aydemir; Patrick Langdon; Simon J. Godsill (CHI-KDD, 2013)

Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction. - Jichi Deng; Simon J. Godsill (WASPAA, 2013)

Tracking pitch period using particle filters. - Geliang Zhang; Simon J. Godsill (WASPAA, 2013)

Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo. - Pete Bunch; Simon J. Godsill (IEEE Trans. Signal Process., 2013)

Particle Smoothing Algorithms for Variable Rate Models. - Pete Bunch; Simon J. Godsill (IEEE Trans. Signal Process., 2013)

Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill; Robert Hardy; Eduardo Dias 002; Lee Skrypchuk (AutomotiveUI, 2014)

Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Simon J. Godsill (FUSION, 2014)

Road-assisted multiple target tracking in clutter. - James K. Murphy; Simon J. Godsill (FUSION, 2014)

Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks. - Bashar I. Ahmad; Patrick M. Langdon; Pete Bunch; Simon J. Godsill (HCI (6), 2014)

A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions. - Tatjana Lemke; Simon J. Godsill (ICASSP, 2014)

Bayesian detection of single-trial event-related potentials. - Maria Rosario Mestre; Simon J. Godsill; William J. Fitzgerald 001 (ICASSP, 2014)

Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Simon J. Godsill (MLSP, 2014)

Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. - Lyudmila Mihaylova; Avishy Carmi; François Septier; Amadou Gning; Sze Kim Pang; Simon J. Godsill (Digit. Signal Process., 2014)

Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study. - Bashar I. Ahmad; Simon J. Godsill; Lee Skrypchuk; Patrick M. Langdon; Robert Hardy (AutomotiveUI (adjunct), 2015)

Touchscreen usability and input performance in vehicles under different road conditions: an evaluative study. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill; Robert Hardy; Lee Skrypchuk; Richard Donkor (AutomotiveUI, 2015)

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? - Allan De Freitas; François Septier; Lyudmila Mihaylova; Simon J. Godsill (FUSION, 2015)

A Bayesian compressed sensing Kalman filter for direction of arrival estimation. - Matthew B. Hawes; Lyudmila Mihaylova; François Septier; Simon J. Godsill (FUSION, 2015)

Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction. - Bashar I. Ahmad; Patrick M. Langdon; Robert Hardy; Simon J. Godsill (HCI (8), 2015)

Destination inference using bridging distributions. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Robert Hardy; Simon J. Godsill (ICASSP, 2015)

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters. - M. Faizan Ahmad; James K. Murphy; Deniz Vatansever; Emmanuel A. Stamatakis; Simon J. Godsill (ICASSP, 2015)

Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone. - Simon J. Godsill; Herbert Buchner; Jan Skoglund (ICASSP, 2015)

Efficient filtering and sampling for a class of time-varying linear systems. - James K. Murphy; Simon J. Godsill (ICASSP, 2015)

Bayesian parameter estimation of Jump-Langevin systems for trend following in finance. - James K. Murphy; Simon J. Godsill (ICASSP, 2015)

A Bayesian particle filtering method for brain source localisation. - Xi Chen 042; Simo Särkkä; Simon J. Godsill (Digit. Signal Process., 2015)

Fully Bayesian inference for α-stable distributions using a Poisson series representation. - Tatjana Lemke; Marina Riabiz; Simon J. Godsill (Digit. Signal Process., 2015)

You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill; Richard Donkor; Rebecca Wilde; Lee Skrypchuk (AutomotiveUI, 2016)

Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints. - Pete Bunch; James K. Murphy; Simon J. Godsill (FUSION, 2016)

Sequential sparse system estimation for linear systems with nonlinear observations. - James K. Murphy; Simon J. Godsill (FUSION, 2016)

Sparse structure inference for group and network tracking. - James K. Murphy; Emre Özkan; Pete Bunch; Simon J. Godsill (FUSION, 2016)

Rao-Blackwellised particle filter for star-convex extended target tracking models. - Emre Özkan; Niklas Wahlstrom; Simon J. Godsill (FUSION, 2016)

High-resolution hyperspectral image fusion based on spectral unmixing. - Qi Wei 002; Simon J. Godsill; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret (FUSION, 2016)

Predictive Pointing from Automotive to Inclusive Design. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Simon J. Godsill (HCI (9), 2016)

A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity. - M. Faizan Ahmad; James K. Murphy; Simon J. Godsill; Deniz Vatansever; Emmanuel A. Stamatakis (ICASSP, 2016)

An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model. - Herbert Buchner; Jan Skoglund; Simon J. Godsill (ICASSP, 2016)

Blind model-based fusion of multi-band and panchromatic images. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Simon J. Godsill (MFI, 2016)

A central limit theorem with application to inference in ( alpha )-stable regression models. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (NIPS Time Series Workshop, 2016)

Multi-Band Image Fusion Based on Spectral Unmixing. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Marcus Chen; Simon J. Godsill (CoRR, 2016)

R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret; José M. Bioucas-Dias; Simon J. Godsill (CoRR, 2016)

Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods. - M. Faizan Ahmad; James K. Murphy; Deniz Vatansever; Emmanuel A. Stamatakis; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2016)

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models. - Fredrik Lindsten; Pete Bunch; Simo Särkkä; Thomas B. Schön; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2016)

Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems. - James K. Murphy; Simon J. Godsill (IEEE J. Sel. Top. Signal Process., 2016)

A Correction Note for Price Dynamics in a Markovian Limit Order Market. - Geliang Zhang; Hugh L. Christensen; Guolong Li; Simon J. Godsill (SIAM J. Financial Math., 2016)

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. - Qi Wei 002; Nicolas Dobigeon; Jean-Yves Tourneret; José M. Bioucas-Dias; Simon J. Godsill (IEEE Signal Process. Lett., 2016)

Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters. - Geliang Zhang; Simon J. Godsill (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Simon J. Godsill; Robert Hardy; Lee Skrypchuk (IEEE Trans. Cybern., 2016)

Multiband Image Fusion Based on Spectral Unmixing. - Qi Wei 002; José M. Bioucas-Dias; Nicolas Dobigeon; Jean-Yves Tourneret; Marcus Chen; Simon J. Godsill (IEEE Trans. Geosci. Remote. Sens., 2016)

Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo. - Pete Bunch; James K. Murphy; Simon J. Godsill (IEEE Trans. Signal Process., 2016)

Intelligent Finger Movement Controlled Interface for Automotive Environment. - Pradipta Biswas; Samuel Twist; Simon J. Godsill (BCS HCI, 2017)

Simulated convergence rates with application to an intractable α-stable inference problem. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CAMSAP, 2017)

Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study. - Bashar I. Ahmad; Tohid Ardeshiri; Pat Langdon; Simon J. Godsill; Thomas Popham (FUSION, 2017)

Gaussian flow sigma point filter for nonlinear Gaussian state-space models. - Henri Nurminen; Robert Piché; Simon J. Godsill (FUSION, 2017)

Efficient bridging-based destination inference in object tracking. - Tohid Ardeshiri; Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill (ICASSP, 2017)

Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering. - Herbert Buchner; Karim Helwani; Bashar I. Ahmad; Simon J. Godsill (ICASSP, 2017)

Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes. - Marina Riabiz; Simon J. Godsill (ICASSP, 2017)

Convergence results for tractable inference in α-stable stochastic processes. - Marina Riabiz; Tohid Ardeshiri; Simon J. Godsill (DSP, 2017)

Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes. - Roland Hostettler; Simo Särkkä; Simon J. Godsill (MLSP, 2017)

Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects. - Matthew B. Hawes; Lyudmila Mihaylova; François Septier; Simon J. Godsill (CoRR, 2017)

Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework. - Bashar I. Ahmad; James K. Murphy; Simon J. Godsill; Patrick M. Langdon; Robert Hardy (IEEE Signal Process. Mag., 2017)

Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model. - Qi Wei 002; Marcus Chen; Jean-Yves Tourneret; Simon J. Godsill (IEEE Trans. Geosci. Remote. Sens., 2017)

Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive. - Bashar I. Ahmad; Simon J. Godsill; Patrick M. Langdon; Lee Skrypchuk (AutomotiveUI (adjunct), 2018)

Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays. - Bashar I. Ahmad; Chrisminder Hare; Harpreet Singh; Arber Shabani; Briana Lindsay; Lee Skrypchuk; Patrick Langdon; Simon J. Godsill (AutomotiveUI, 2018)

A Meta-Tracking Approach for Predicting the Driver or Passenger Intent. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill (FUSION, 2018)

A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model. - Jiaming Liang 001; Simon J. Godsill (FUSION, 2018)

Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill (HCI (7), 2018)

Particle Filtering and Inference for Limit Order Books in High Frequency Finance. - Pinzhang Wang; Lin Li; Simon J. Godsill (ICASSP, 2018)

Sharp Gaussian Approximation Bounds for Linear Systems with $ alpha$ -stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (ISIT, 2018)

Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (CoRR, 2018)

Bayesian Intent Prediction in Object Tracking Using Bridging Distributions. - Bashar I. Ahmad; James K. Murphy; Patrick M. Langdon; Simon J. Godsill (IEEE Trans. Cybern., 2018)

The Lévy State Space Model. - Simon J. Godsill; Marina Riabiz; Ioannis Kontoyiannis (ACSSC, 2019)

Unsupervised Bayesian Estimation and Tracking of Time-Varying Convolutive Multichannel Systems. - Herbert Buchner; Karim Helwani; Simon J. Godsill (FUSION, 2019)

A Bayesian Framework for Intent Prediction in Object Tracking. - Bashar I. Ahmad; Patrick M. Langdon; Simon J. Godsill (ICASSP, 2019)

Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds. - Herbert Buchner; Karim Helwani; Simon J. Godsill (ICASSP, 2019)

Particle Filtering: the First 25 Years and beyond. - Simon J. Godsill (ICASSP, 2019)

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking. - Jiaming Liang 001; Simon J. Godsill (ICASSP, 2019)

Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters. - Runze Gan; Jiaming Liang 001; Bashar I. Ahmad; Simon J. Godsill (MLSP, 2019)

Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch. - Bashar I. Ahmad; Chrisminder Hare; Harpreet Singh; Arber Shabani; Briana Lindsay; Lee Skrypchuk; Patrick Langdon; Simon J. Godsill (Int. J. Mob. Hum. Comput. Interact., 2019)

On Destination Prediction Based on Markov Bridging Distributions. - Jiaming Liang 001; Bashar I. Ahmad; Runze Gan; Pat Langdon; Robert Hardy; Simon J. Godsill (IEEE Signal Process. Lett., 2019)

Driver and Passenger Identification From Smartphone Data. - Bashar I. Ahmad; Patrick M. Langdon; Jiaming Liang 001; Simon J. Godsill; Mauricio Munoz Delgado; Thomas Popham (IEEE Trans. Intell. Transp. Syst., 2019)

Optimum Kernel Particle Filter for Asymmetric Laplace Noise in Multivariate Models. - Ulrika Andersson; Simon J. Godsill (FUSION, 2020)

$ alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking. - Runze Gan; Simon J. Godsill (FUSION, 2020)

A New Leader-follower Model for Bayesian Tracking. - Qing Li 033; Simon J. Godsill (FUSION, 2020)

Optimum Kernel Particle Filter for Asymmetric Laplace Noise. - Ulrika Andersson; Simon J. Godsill (ICASSP, 2020)

Inferring Dynamic Group Leadership Using Sequential Bayesian Methods. - Qing Li 033; Simon J. Godsill; Jiaming Liang 001; Bashar I. Ahmad (ICASSP, 2020)

Multi-channel audio statistical restoration. - Yinhong Liu; Simon J. Godsill (ICSPCC, 2020)

Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model. - Jiaming Liang 001; Bashar I. Ahmad; Simon J. Godsill (MLSP, 2020)

A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise. - Nobutaka Ito; Simon J. Godsill (IEEE Signal Process. Lett., 2020)

Nonasymptotic Gaussian Approximation for Inference With Stable Noise. - Marina Riabiz; Tohid Ardeshiri; Ioannis Kontoyiannis; Simon J. Godsill (IEEE Trans. Inf. Theory, 2020)

Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering. - Chenhao Li; Simon J. Godsill (ICASSP, 2021)

Foreword to the Special Section on Meta-Level and Adversarial Tracking. - Bashar I. Ahmad; Simon J. Godsill; Vikram Krishnamurthy; Peter Willett 001; Muralidhar Rangaswamy (IEEE Trans. Aerosp. Electron. Syst., 2021)

Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects. - Runze Gan; Bashar I. Ahmad; Simon J. Godsill (IEEE Trans. Aerosp. Electron. Syst., 2021)

Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods. - Qing Li 033; Bashar I. Ahmad; Simon J. Godsill (IEEE Trans. Aerosp. Electron. Syst., 2021)

Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior. - Chenhao Li; Simon J. Godsill (IEEE Trans. Signal Process., 2021)

A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process. - Runze Gan; Qing Li 033; Simon J. Godsill (FUSION, 2022)

UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. - Shidrokh Goudarzi; Wenwu Wang 001; Pei Xiao 001; Lyudmila Mihaylova; Simon J. Godsill (FUSION, 2022)

Sequential MCMC Methods for Audio Signal Enhancement. - Rubén M. Clavería; Simon J. Godsill (ICASSP, 2022)

Conditionally Factorized Variational Bayes with Importance Sampling. - Runze Gan; Simon J. Godsill (ICASSP, 2022)

Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process. - Qing Li 033; Jiaming Liang 001; Simon J. Godsill (ICASSP, 2022)

Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. - Jinzheng Zhao; Peipei Wu; Xubo Liu 001; Yong Xu 004; Lyudmila Mihaylova; Simon J. Godsill; Wenwu Wang 001 (ICASSP, 2022)

Non-Gaussian Process Regression. - Yaman Kindap; Simon J. Godsill (CoRR, 2022)

Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral. - Simon J. Godsill; Yaman Kindap (Stat. Comput., 2022)

Autonomous Tracking and State Estimation With Generalized Group Lasso. - Rui Gao; Simo Särkkä; Rubén M. Clavería; Simon J. Godsill (IEEE Trans. Cybern., 2022)

Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes. - Fred Goodyer; Bashar I. Ahmad; Simon J. Godsill (FUSION, 2023)

Inference for Variance-Gamma Driven Stochastic Systems. - Joseph Johnson; Yaman Kindap; Simon J. Godsill (FUSION, 2023)

A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter. - Qing Li 033; Runze Gan; Simon J. Godsill (FUSION, 2023)

GaPP: Multi-Target Tracking with Gaussian Processes. - Fred Goodyer; Bashar I. Ahmad; Simon J. Godsill (ICASSP, 2023)

Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network. - Qing Li 033; Runze Gan; Simon J. Godsill (CoRR, 2023)

Filtering Structures for α-Stable Systems. - Sayed Pouria Talebi; Simon J. Godsill; Danilo P. Mandic (IEEE Control. Syst. Lett., 2023)

An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process. - Qing Li 033; Runze Gan; Jiaming Liang 001; Simon J. Godsill (IEEE Trans. Signal Process., 2023)

Special issue on non-deterministic machine learning. - Shao-Lun Huang; Emilie Chouzenoux; Simon J. Godsill; Tie Liu; Linqi Song; Lei Zhang (J. Frankl. Inst., 2023)

Implementation of Non-Gaussian Motion Models Within Stone Soup. - Zhen Yuen Chong; Henry Pritchett; Qing Li 033; Runze Gan; Yaman Kindap; Simon J. Godsill (FUSION, 2024)

Bimodal Multi-Object Localisation, Siteswap Inference, and Analysis for Competitive Juggling. - James M. Cozens; Simon J. Godsill (FUSION, 2024)

Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter. - Qing Li 033; Runze Gan; Simon J. Godsill (FUSION, 2024)

Inference for Non-Gaussian Dynamical Models with Time-varying Skew. - Zixin Liu; Zachary Tiller; Simon J. Godsill (FUSION, 2024)

Reversible Jump Markov Chain Monte Carlo for Pulse Fitting. - Fred Goodyer; Bashar I. Ahmad; Simon J. Godsill (ICASSP, 2024)

Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data. - Nermin Caber; Bashar I. Ahmad; Jiaming Liang 001; Simon J. Godsill; Alexandra Bremers; Philip Thomas; David Oxtoby; Lee Skrypchuk (IEEE Trans. Intell. Veh., 2024)

Point process simulation of generalised hyperbolic Lévy processes. - Yaman Kindap; Simon J. Godsill (Stat. Comput., 2024)

Variational Tracking and Redetection for Closely-Spaced Objects in Heavy Clutter. - Runze Gan; Qing Li 033; Simon J. Godsill (IEEE Trans. Aerosp. Electron. Syst., 2024)

Audio Signal Enhancement with Low-Rank Time-Frequency Synthesis Models. - Rubén M. Clavería; Simon J. Godsill (SSP, 2025)

Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks. - Qing Li 033; Runze Gan; James R. Hopgood; Michael E. Davies 001; Simon J. Godsill (SSP, 2025)

Decentralized Variational Inference Frameworks for Multi-Object Tracking on Sensor Networks. - Qing Li 033; Runze Gan; Simon J. Godsill (IEEE Trans. Signal Process., 2025)

Introducing RIFT: A Hierarchical Entropic Filtering Scheme for Ideal Time-Frequency Reconstruction. - James M. Cozens; Simon J. Godsill (CoRR, 2025)

Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking. - Fred Lydeard; Bashar I. Ahmad; Simon J. Godsill (CoRR, 2025)