Simon J. Godsill

Affiliations:
  • University of Cambridge, UK


According to our database1, Simon J. Godsill authored at least 224 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Point process simulation of generalised hyperbolic Lévy processes.
Stat. Comput., February, 2024

Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data.
IEEE Trans. Intell. Veh., January, 2024

2023
Special issue on non-deterministic machine learning.
J. Frankl. Inst., November, 2023

An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process.
IEEE Trans. Signal Process., 2023

Filtering Structures for α-Stable Systems.
IEEE Control. Syst. Lett., 2023

Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network.
CoRR, 2023

GaPP: Multi-Target Tracking with Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter.
Proceedings of the 26th International Conference on Information Fusion, 2023

Inference for Variance-Gamma Driven Stochastic Systems.
Proceedings of the 26th International Conference on Information Fusion, 2023

Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
Autonomous Tracking and State Estimation With Generalized Group Lasso.
IEEE Trans. Cybern., 2022

Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral.
Stat. Comput., 2022

Non-Gaussian Process Regression.
CoRR, 2022

Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter.
Proceedings of the IEEE International Conference on Acoustics, 2022

Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process.
Proceedings of the IEEE International Conference on Acoustics, 2022

Conditionally Factorized Variational Bayes with Importance Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2022

Sequential MCMC Methods for Audio Signal Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking.
Proceedings of the 25th International Conference on Information Fusion, 2022

A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior.
IEEE Trans. Signal Process., 2021

Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods.
IEEE Trans. Aerosp. Electron. Syst., 2021

Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects.
IEEE Trans. Aerosp. Electron. Syst., 2021

Foreword to the Special Section on Meta-Level and Adversarial Tracking.
IEEE Trans. Aerosp. Electron. Syst., 2021

Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Nonasymptotic Gaussian Approximation for Inference With Stable Noise.
IEEE Trans. Inf. Theory, 2020

A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise.
IEEE Signal Process. Lett., 2020

Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Multi-channel audio statistical restoration.
Proceedings of the IEEE International Conference on Signal Processing, 2020

Inferring Dynamic Group Leadership Using Sequential Bayesian Methods.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimum Kernel Particle Filter for Asymmetric Laplace Noise.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A New Leader-follower Model for Bayesian Tracking.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Optimum Kernel Particle Filter for Asymmetric Laplace Noise in Multivariate Models.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Driver and Passenger Identification From Smartphone Data.
IEEE Trans. Intell. Transp. Syst., 2019

On Destination Prediction Based on Markov Bridging Distributions.
IEEE Signal Process. Lett., 2019

Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch.
Int. J. Mob. Hum. Comput. Interact., 2019

Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019

Particle Filtering: the First 25 Years and beyond.
Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Bayesian Framework for Intent Prediction in Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Bayesian Estimation and Tracking of Time-Varying Convolutive Multichannel Systems.
Proceedings of the 22th International Conference on Information Fusion, 2019

The Lévy State Space Model.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions.
IEEE Trans. Cybern., 2018

Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version].
CoRR, 2018

Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Particle Filtering and Inference for Limit Order Books in High Frequency Finance.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments.
Proceedings of the Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, 2018

A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model.
Proceedings of the 21st International Conference on Information Fusion, 2018

A Meta-Tracking Approach for Predicting the Driver or Passenger Intent.
Proceedings of the 21st International Conference on Information Fusion, 2018

Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays.
Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018

Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive.
Proceedings of the Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2018

2017
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model.
IEEE Trans. Geosci. Remote. Sens., 2017

Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework.
IEEE Signal Process. Mag., 2017

Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects.
CoRR, 2017

Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Convergence results for tractable inference in α-stable stochastic processes.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Efficient bridging-based destination inference in object tracking.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Gaussian flow sigma point filter for nonlinear Gaussian state-space models.
Proceedings of the 20th International Conference on Information Fusion, 2017

Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study.
Proceedings of the 20th International Conference on Information Fusion, 2017

Simulated convergence rates with application to an intractable α-stable inference problem.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Intelligent Finger Movement Controlled Interface for Automotive Environment.
Proceedings of the HCI 2017, 2017

2016
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process., 2016

Multiband Image Fusion Based on Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2016

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles.
IEEE Trans. Cybern., 2016

Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation.
IEEE Signal Process. Lett., 2016

A Correction Note for Price Dynamics in a Markovian Limit Order Market.
SIAM J. Financial Math., 2016

Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems.
IEEE J. Sel. Top. Signal Process., 2016

Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.
IEEE J. Sel. Top. Signal Process., 2016

Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods.
IEEE J. Sel. Top. Signal Process., 2016

R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation.
CoRR, 2016

Multi-Band Image Fusion Based on Spectral Unmixing.
CoRR, 2016

A central limit theorem with application to inference in \(\alpha\)-stable regression models.
Proceedings of the NIPS 2016 Time Series Workshop, 2016

Blind model-based fusion of multi-band and panchromatic images.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Predictive Pointing from Automotive to Inclusive Design.
Proceedings of the Universal Access in Human-Computer Interaction. Users and Context Diversity, 2016

High-resolution hyperspectral image fusion based on spectral unmixing.
Proceedings of the 19th International Conference on Information Fusion, 2016

Rao-Blackwellised particle filter for star-convex extended target tracking models.
Proceedings of the 19th International Conference on Information Fusion, 2016

Sparse structure inference for group and network tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

Sequential sparse system estimation for linear systems with nonlinear observations.
Proceedings of the 19th International Conference on Information Fusion, 2016

Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints.
Proceedings of the 19th International Conference on Information Fusion, 2016

You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection.
Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2016

2015
Fully Bayesian inference for α-stable distributions using a Poisson series representation.
Digit. Signal Process., 2015

A Bayesian particle filtering method for brain source localisation.
Digit. Signal Process., 2015

Bayesian parameter estimation of Jump-Langevin systems for trend following in finance.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient filtering and sampling for a class of time-varying linear systems.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Destination inference using bridging distributions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction.
Proceedings of the Universal Access in Human-Computer Interaction. Access to Interaction, 2015

A Bayesian compressed sensing Kalman filter for direction of arrival estimation.
Proceedings of the 18th International Conference on Information Fusion, 2015

How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking?
Proceedings of the 18th International Conference on Information Fusion, 2015

Touchscreen usability and input performance in vehicles under different road conditions: an evaluative study.
Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2015

Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study.
Proceedings of the Adjunct Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2015

2014
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.
Digit. Signal Process., 2014

Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Bayesian detection of single-trial event-related potentials.
Proceedings of the IEEE International Conference on Acoustics, 2014

A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions.
Proceedings of the IEEE International Conference on Acoustics, 2014

Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks.
Proceedings of the Universal Access in Human-Computer Interaction. Aging and Assistive Environments, 2014

Road-assisted multiple target tracking in clutter.
Proceedings of the 17th International Conference on Information Fusion, 2014

Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles.
Proceedings of the 17th International Conference on Information Fusion, 2014

Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors.
Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seattle, WA, USA, September 17, 2014

2013
Particle Smoothing Algorithms for Variable Rate Models.
IEEE Trans. Signal Process., 2013

Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process., 2013

Tracking pitch period using particle filters.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2013

Intent Recognition Using Neural Networks and Kalman Filters.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multiple dipolar sources localization for MEG using Bayesian particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2013

User Target Intention Recognition from Cursor Position Using Kalman Filter.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2013

Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods.
Proceedings of the 16th International Conference on Information Fusion, 2013

Particle filtering with progressive Gaussian approximations to the optimal importance density.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.
Proceedings of the Modeling, Simulation and Visual Analysis of Crowds, 2013

2012
Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers.
IEEE Trans. Speech Audio Process., 2012

Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics.
IEEE J. Sel. Top. Signal Process., 2012

The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking.
Autom., 2012

Simultaneous localization and mapping for non-parametric potential field environments.
Proceedings of the Workshop on Sensor Data Fusion: Trends, Solutions, Applications, 2012

Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Structure inference for networks with general non-parametric inter-object relationships.
Proceedings of the 15th International Conference on Information Fusion, 2012

Dynamical models for tracking with the variable rate particle filter.
Proceedings of the 15th International Conference on Information Fusion, 2012

2011
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.
IEEE Trans. Signal Process., 2011

Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model.
IEEE Trans. Speech Audio Process., 2011

Detection and Tracking of Coordinated Groups.
IEEE Trans. Aerosp. Electron. Syst., 2011

Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes.
IEEE J. Sel. Top. Signal Process., 2011

Bayesian classification of acoustical waveforms under environmental variability.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

MCMC-based tracking and identification of leaders in groups.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Joint Bayesian removal of impulse and background noise.
Proceedings of the IEEE International Conference on Acoustics, 2011

Enhanced Poisson sum representation for alpha-stable processes.
Proceedings of the IEEE International Conference on Acoustics, 2011

Point process MCMC for sequential music transcription.
Proceedings of the IEEE International Conference on Acoustics, 2011

Reinforcement Learning and the Bayesian Control Rule.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Generative Spectrogram Factorization Models for Polyphonic Piano Transcription.
IEEE Trans. Speech Audio Process., 2010

Acoustic Source Localization and Tracking Using Track Before Detect.
IEEE Trans. Speech Audio Process., 2010

The shifted inverse-gamma model for noise-floor estimation in archived audio recordings.
Signal Process., 2010

Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment.
Proceedings of the 18th European Signal Processing Conference, 2010

Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC.
Proceedings of the Exploring Music Contents - 7th International Symposium, 2010

2009
A Nonreference Image Fusion Metric Based on the Regional Importance Measure.
IEEE J. Sel. Top. Signal Process., 2009

Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter.
EURASIP J. Adv. Signal Process., 2009

Tracking of multiple contaminant clouds.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio.
IEEE Trans. Speech Audio Process., 2008

Bayesian hierarchical models and inference for musical audio processing.
Proceedings of the Third International Symposium on Wireless Pervasive Computing, 2008

Bayesian extensions to non-negative matrix factorisation for audio signal modelling.
Proceedings of the IEEE International Conference on Acoustics, 2008

Multi-channel bayesian background noise suppression using perceptual cost functions.
Proceedings of the IEEE International Conference on Acoustics, 2008

Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering.
Proceedings of the 11th International Conference on Information Fusion, 2008

Ground target group structure and state estimation with particle filtering.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Bayesian Image Modeling of cDNA Microarray Spots.
IEEE Signal Process. Lett., 2007

Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters.
Proc. IEEE, 2007

An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo.
Proc. IEEE, 2007

Variational and stochastic inference for Bayesian source separation.
Digit. Signal Process., 2007

Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods.
Comput. J., 2007

A Probabilistic Framework for Matching Music Representations.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Sequential Inference of Rhythmic Structure in Musical Audio.
Proceedings of the IEEE International Conference on Acoustics, 2007

Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective.
Proceedings of the Universal Access in Human Computer Interaction. Coping with Diversity, 2007

Ground target modelling, tracking and prediction with road networks.
Proceedings of the 10th International Conference on Information Fusion, 2007

Bayesian computational methods for sparse audio and music processing.
Proceedings of the 15th European Signal Processing Conference, 2007

Bayesian Inference for 2D Gel Electrophoresis Image Analysis.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006
On-line Bayesian estimation of signals in symmetric α-stable noise.
IEEE Trans. Signal Process., 2006

A Bayesian Approach for Blind Separation of Sparse Sources.
IEEE Trans. Speech Audio Process., 2006

Sparse linear regression in unions of bases via Bayesian variable selection.
IEEE Signal Process. Lett., 2006

Bayesian Modelling of Temporal Structure in Musical Audio.
Proceedings of the ISMIR 2006, 2006

Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Sparse Regression with Structured Priors: Application to Audio Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Bayesian inference for multidimensional NMR image reconstruction.
Proceedings of the 14th European Signal Processing Conference, 2006

Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Interpolation of missing data values for audio signal restoration using a Gabor regression model.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Tracking variable number of targets using sequential Monte Carlo methods.
Proceedings of the 13th European Signal Processing Conference, 2005

Probabilistic phase vocoder and its application to interpolation of missing values in audio signals.
Proceedings of the 13th European Signal Processing Conference, 2005

Blind separation of sparse sources using variational EM.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Editorial.
EURASIP J. Adv. Signal Process., 2004

Bayesian estimation of simultaneous musical notes based on frequency domain modelling.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Models and algorithms for tracking using trans-dimensional sequential Monte Carlo.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement.
EURASIP J. Adv. Signal Process., 2003

Sequential Bayesian Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

A perceptually balanced loss function for short-time spectral amplitude estimation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
MCMC for joint noise reduction and missing data treatment in degraded video.
IEEE Trans. Signal Process., 2002

Monte Carlo smoothing with application to audio signal enhancement.
IEEE Trans. Signal Process., 2002

Guest editorial special issue on monte carlo methods for statistical signal processing.
IEEE Trans. Signal Process., 2002

Particle methods for Bayesian modeling and enhancement of speech signals.
IEEE Trans. Speech Audio Process., 2002

Marginal maximum a posteriori estimation using Markov chain Monte Carlo.
Stat. Comput., 2002

Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Bayesian models for DNA sequencing.
Proceedings of the IEEE International Conference on Acoustics, 2002

Bayesian harmonic models for musical pitch estimation and analysis.
Proceedings of the IEEE International Conference on Acoustics, 2002

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio.
Proceedings of the IEEE International Conference on Acoustics, 2002

Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2002

Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
MCMC methods for restoration of nonlinearly distorted autoregressive signals.
Signal Process., 2001

Sequential methods for DNA sequencing.
Proceedings of the IEEE International Conference on Acoustics, 2001

Estimation of CAR processes observed in noise using Bayesian inference.
Proceedings of the IEEE International Conference on Acoustics, 2001

Monte Carlo smoothing for non-linearly distorted signals.
Proceedings of the IEEE International Conference on Acoustics, 2001

Improvement Strategies for Monte Carlo Particle Filters.
Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000
On sequential Monte Carlo sampling methods for Bayesian filtering.
Stat. Comput., 2000

Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2000

Modelling electropherogram data for DNA sequencing using variable dimension MCMC.
Proceedings of the IEEE International Conference on Acoustics, 2000

Inference in symmetric alpha-stable noise using MCMC and the slice sampler.
Proceedings of the IEEE International Conference on Acoustics, 2000

Monte Carlo filtering and smoothing with application to time-varying spectral estimation.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
MCMC methods for restoration of quantised time series.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Marginal MAP estimation using Markov chain Monte Carlo.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Bayesian separation and recovery of convolutively mixed autoregressive sources.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler.
IEEE Trans. Speech Audio Process., 1998

A reversible jump sampler for autoregressive time series.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Multidimensional optimisation of harmonic signals.
Proceedings of the 9th European Signal Processing Conference, 1998

On a new stochastic version of the EM algorithm.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

Bayesian model selection for time series using Markov chain Monte Carlo.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Robust modelling of noisy ARMA signals.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Robust noise reduction for speech and audio signals.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Multi-channel signal separation.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Joint interpolation, motion and parameter estimation for image sequences with missing data.
Proceedings of the 8th European Signal Processing Conference, 1996

A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors.
Proceedings of the Computer Vision, 1996

1995
A Bayesian approach to the restoration of degraded audio signals.
IEEE Trans. Speech Audio Process., 1995

1994
A two-channel approach to the removal of impulsive noise from archived recordings.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Recursive restoration of pitch variation defects in musical recordings.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Frequency-based interpolation of sampled signals with applications in audio restoration.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
A Bayesian approach to the detection and correction of error bursts in audio signals.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992


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