Simon J. Godsill

249 papers B 1C 37Misc 57Journal 81Unranked 71
YearRankTypeTitle / Venue / Authors
2025 — conf
Audio Signal Enhancement with Low-Rank Time-Frequency Synthesis Models.
SSP
Rubén M. Clavería, Simon J. Godsill
2025 J jnl
Decentralized Variational Inference Frameworks for Multi-Object Tracking on Sensor Networks.
IEEE Trans. Signal Process.
Qing Li, Runze Gan, Simon J. Godsill
2025 — conf
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks.
SSP
Qing Li, Runze Gan, James R. Hopgood, Michael E. Davies, Simon J. Godsill
2025 J jnl
Distributed Expectation Propagation for Multi-Object Tracking over Sensor Networks.
CoRR
Qing Li, Runze Gan, James R. Hopgood, Michael E. Davies, Simon J. Godsill
2025 C conf
Dynamics-Informed Gaussian Process Models in Stone Soup.
FUSION
Chloe Chung, Fred Lydeard, Simon J. Godsill
2025 C conf
Efficient Parameter Inference for Lévy State Space Models Through GPU-Accelerated Particle MCMC.
FUSION
Tim Hargreaves, Bill Z. Lin, Simon J. Godsill, Hong Ge
2025 J jnl
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking.
CoRR
Fred Lydeard, Bashar I. Ahmad, Simon J. Godsill
2025 J jnl
Introducing RIFT: A Hierarchical Entropic Filtering Scheme for Ideal Time-Frequency Reconstruction.
CoRR
James M. Cozens, Simon J. Godsill
2025 — conf
On the Construction of Discrete-Time Arma Models From Continuous-Time State-Space Models.
EUSIPCO
Ralph J. McDougall, Simon J. Godsill
2025 C conf
PiVoT: Poisson Measurements-Based Variational Multi-Object Detection and Tracking.
FUSION
Runze Gan, Qing Li, James R. Hopgood, Mike E. Davies, Simon J. Godsill
2025 — conf
Sequential Bayesian Signal Reconstruction for Unlimited Sampling.
CAMSAP
Ralph J. McDougall, Simon J. Godsill
2024 C conf
Bimodal Multi-Object Localisation, Siteswap Inference, and Analysis for Competitive Juggling.
FUSION
James M. Cozens, Simon J. Godsill
2024 C conf
Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter.
FUSION
Qing Li, Runze Gan, Simon J. Godsill
2024 J jnl
Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter.
CoRR
Qing Li, Runze Gan, Simon J. Godsill
2024 J jnl
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data.
IEEE Trans. Intell. Veh.
Nermin Caber, Bashar I. Ahmad, Jiaming Liang, Simon J. Godsill, Alexandra Bremers, Philip Thomas, David Oxtoby, Lee Skrypchuk
2024 C conf
Implementation of Non-Gaussian Motion Models Within Stone Soup.
FUSION
Zhen Yuen Chong, Henry Pritchett, Qing Li, Runze Gan, Yaman Kindap, Simon J. Godsill
2024 C conf
Inference for Non-Gaussian Dynamical Models with Time-varying Skew.
FUSION
Zixin Liu, Zachary Tiller, Simon J. Godsill
2024 J jnl
Point process simulation of generalised hyperbolic Lévy processes.
Stat. Comput.
Yaman Kindap, Simon J. Godsill
2024 Misc conf
Reversible Jump Markov Chain Monte Carlo for Pulse Fitting.
ICASSP
Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill
2024 J jnl
Variational Tracking and Redetection for Closely-Spaced Objects in Heavy Clutter.
IEEE Trans. Aerosp. Electron. Syst.
Runze Gan, Qing Li, Simon J. Godsill
2023 C conf
A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter.
FUSION
Qing Li, Runze Gan, Simon J. Godsill
2023 J jnl
An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process.
IEEE Trans. Signal Process.
Qing Li, Runze Gan, Jiaming Liang, Simon J. Godsill
2023 J jnl
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network.
CoRR
Qing Li, Runze Gan, Simon J. Godsill
2023 J jnl
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data.
CoRR
Nermin Caber, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill, Alexandra Bremers, Philip Thomas, David Oxtoby, Lee Skrypchuk
2023 J jnl
Filtering Structures for α-Stable Systems.
IEEE Control. Syst. Lett.
Sayed Pouria Talebi, Simon J. Godsill, Danilo P. Mandic
2023 C conf
Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes.
FUSION
Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill
2023 Misc conf
GaPP: Multi-Target Tracking with Gaussian Processes.
ICASSP
Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill
2023 C conf
Inference for Variance-Gamma Driven Stochastic Systems.
FUSION
Joseph Johnson, Yaman Kindap, Simon J. Godsill
2023 J jnl
Special issue on non-deterministic machine learning.
J. Frankl. Inst.
Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang
2022 C conf
A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process.
FUSION
Runze Gan, Qing Li, Simon J. Godsill
2022 Misc conf
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter.
ICASSP
Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang
2022 J jnl
Autonomous Tracking and State Estimation With Generalized Group Lasso.
IEEE Trans. Cybern.
Rui Gao, Simo Särkkä, Rubén M. Clavería, Simon J. Godsill
2022 Misc conf
Conditionally Factorized Variational Bayes with Importance Sampling.
ICASSP
Runze Gan, Simon J. Godsill
2022 J jnl
Non-Gaussian Process Regression.
CoRR
Yaman Kindap, Simon J. Godsill
2022 J jnl
Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral.
Stat. Comput.
Simon J. Godsill, Yaman Kindap
2022 Misc conf
Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process.
ICASSP
Qing Li, Jiaming Liang, Simon J. Godsill
2022 Misc conf
Sequential MCMC Methods for Audio Signal Enhancement.
ICASSP
Rubén M. Clavería, Simon J. Godsill
2022 C conf
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking.
FUSION
Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill
2021 J jnl
Foreword to the Special Section on Meta-Level and Adversarial Tracking.
IEEE Trans. Aerosp. Electron. Syst.
Bashar I. Ahmad, Simon J. Godsill, Vikram Krishnamurthy, Peter Willett, Muralidhar Rangaswamy
2021 J jnl
Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects.
IEEE Trans. Aerosp. Electron. Syst.
Runze Gan, Bashar I. Ahmad, Simon J. Godsill
2021 J jnl
Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods.
IEEE Trans. Aerosp. Electron. Syst.
Qing Li, Bashar I. Ahmad, Simon J. Godsill
2021 J jnl
Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior.
IEEE Trans. Signal Process.
Chenhao Li, Simon J. Godsill
2021 Misc conf
Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering.
ICASSP
Chenhao Li, Simon J. Godsill
2020 C conf
$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking.
FUSION
Runze Gan, Simon J. Godsill
2020 J jnl
A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise.
IEEE Signal Process. Lett.
Nobutaka Ito, Simon J. Godsill
2020 C conf
A New Leader-follower Model for Bayesian Tracking.
FUSION
Qing Li, Simon J. Godsill
2020 Misc conf
Inferring Dynamic Group Leadership Using Sequential Bayesian Methods.
ICASSP
Qing Li, Simon J. Godsill, Jiaming Liang, Bashar I. Ahmad
2020 — conf
Multi-channel audio statistical restoration.
ICSPCC
Yinhong Liu, Simon J. Godsill
2020 J jnl
Nonasymptotic Gaussian Approximation for Inference With Stable Noise.
IEEE Trans. Inf. Theory
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2020 C conf
Optimum Kernel Particle Filter for Asymmetric Laplace Noise in Multivariate Models.
FUSION
Ulrika Andersson, Simon J. Godsill
2020 Misc conf
Optimum Kernel Particle Filter for Asymmetric Laplace Noise.
ICASSP
Ulrika Andersson, Simon J. Godsill
2020 — conf
Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model.
MLSP
Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill
2019 Misc conf
A Bayesian Framework for Intent Prediction in Object Tracking.
ICASSP
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
2019 Misc conf
Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking.
ICASSP
Jiaming Liang, Simon J. Godsill
2019 — conf
Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters.
MLSP
Runze Gan, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill
2019 Misc conf
Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds.
ICASSP
Herbert Buchner, Karim Helwani, Simon J. Godsill
2019 J jnl
Driver and Passenger Identification From Smartphone Data.
IEEE Trans. Intell. Transp. Syst.
Bashar I. Ahmad, Patrick M. Langdon, Jiaming Liang, Simon J. Godsill, Mauricio Munoz Delgado, Thomas Popham
2019 J jnl
On Destination Prediction Based on Markov Bridging Distributions.
IEEE Signal Process. Lett.
Jiaming Liang, Bashar I. Ahmad, Runze Gan, Pat Langdon, Robert Hardy, Simon J. Godsill
2019 Misc conf
Particle Filtering: the First 25 Years and beyond.
ICASSP
Simon J. Godsill
2019 Misc conf
The Lévy State Space Model.
ACSSC
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
2019 J jnl
The Lévy State Space Model.
CoRR
Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis
2019 J jnl
Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch.
Int. J. Mob. Hum. Comput. Interact.
Bashar I. Ahmad, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon, Simon J. Godsill
2019 C conf
Unsupervised Bayesian Estimation and Tracking of Time-Varying Convolutive Multichannel Systems.
FUSION
Herbert Buchner, Karim Helwani, Simon J. Godsill
2018 C conf
A Meta-Tracking Approach for Predicting the Driver or Passenger Intent.
FUSION
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
2018 C conf
A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model.
FUSION
Jiaming Liang, Simon J. Godsill
2018 J jnl
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions.
IEEE Trans. Cybern.
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill
2018 J jnl
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version].
CoRR
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018 Misc conf
Particle Filtering and Inference for Limit Order Books in High Frequency Finance.
ICASSP
Pinzhang Wang, Lin Li, Simon J. Godsill
2018 — conf
Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive.
AutomotiveUI (adjunct)
Bashar I. Ahmad, Simon J. Godsill, Patrick M. Langdon, Lee Skrypchuk
2018 — conf
Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays.
AutomotiveUI
Bashar I. Ahmad, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon, Simon J. Godsill
2018 Misc conf
Sequential Inference Methods for Non-Homogeneous Poisson Processes with State-Space Prior.
ICASSP
Chenhao Li, Simon J. Godsill
2018 B conf
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise.
ISIT
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2018 — conf
Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments.
HCI (7)
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
2017 Misc conf
Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes.
ICASSP
Marina Riabiz, Simon J. Godsill
2017 J jnl
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects.
CoRR
Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2017 — conf
Convergence results for tractable inference in α-stable stochastic processes.
DSP
Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2017 Misc conf
Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering.
ICASSP
Herbert Buchner, Karim Helwani, Bashar I. Ahmad, Simon J. Godsill
2017 Misc conf
Efficient bridging-based destination inference in object tracking.
ICASSP
Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill
2017 C conf
Gaussian flow sigma point filter for nonlinear Gaussian state-space models.
FUSION
Henri Nurminen, Robert Piché, Simon J. Godsill
2017 — conf
Intelligent Finger Movement Controlled Interface for Automotive Environment.
BCS HCI
Pradipta Biswas, Samuel Twist, Simon J. Godsill
2017 J jnl
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework.
IEEE Signal Process. Mag.
Bashar I. Ahmad, James K. Murphy, Simon J. Godsill, Patrick M. Langdon, Robert Hardy
2017 C conf
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study.
FUSION
Bashar I. Ahmad, Tohid Ardeshiri, Pat Langdon, Simon J. Godsill, Thomas Popham
2017 — conf
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes.
MLSP
Roland Hostettler, Simo Särkkä, Simon J. Godsill
2017 — conf
Simulated convergence rates with application to an intractable α-stable inference problem.
CAMSAP
Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill
2017 J jnl
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model.
IEEE Trans. Geosci. Remote. Sens.
Qi Wei, Marcus Chen, Jean-Yves Tourneret, Simon J. Godsill
2016 J jnl
A Correction Note for Price Dynamics in a Markovian Limit Order Market.
SIAM J. Financial Math.
Geliang Zhang, Hugh L. Christensen, Guolong Li, Simon J. Godsill
2016 Misc conf
A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity.
ICASSP
M. Faizan Ahmad, James K. Murphy, Simon J. Godsill, Deniz Vatansever, Emmanuel A. Stamatakis
2016 — conf
A central limit theorem with application to inference in \(\alpha\)-stable regression models.
NIPS Time Series Workshop
Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill
2016 Misc conf
An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model.
ICASSP
Herbert Buchner, Jan Skoglund, Simon J. Godsill
2016 C conf
Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints.
FUSION
Pete Bunch, James K. Murphy, Simon J. Godsill
2016 J jnl
Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods.
IEEE J. Sel. Top. Signal Process.
M. Faizan Ahmad, James K. Murphy, Deniz Vatansever, Emmanuel A. Stamatakis, Simon J. Godsill
2016 J jnl
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process.
Pete Bunch, James K. Murphy, Simon J. Godsill
2016 — conf
Blind model-based fusion of multi-band and panchromatic images.
MFI
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon J. Godsill
2016 J jnl
Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems.
IEEE J. Sel. Top. Signal Process.
James K. Murphy, Simon J. Godsill
2016 J jnl
Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters.
IEEE ACM Trans. Audio Speech Lang. Process.
Geliang Zhang, Simon J. Godsill
2016 C conf
High-resolution hyperspectral image fusion based on spectral unmixing.
FUSION
Qi Wei, Simon J. Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret
2016 J jnl
Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles.
IEEE Trans. Cybern.
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Lee Skrypchuk
2016 J jnl
Multi-Band Image Fusion Based on Spectral Unmixing.
CoRR
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill
2016 J jnl
Multiband Image Fusion Based on Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill
2016 — conf
Predictive Pointing from Automotive to Inclusive Design.
HCI (9)
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill
2016 J jnl
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation.
CoRR
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill
2016 J jnl
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation.
IEEE Signal Process. Lett.
Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill
2016 C conf
Rao-Blackwellised particle filter for star-convex extended target tracking models.
FUSION
Emre Özkan, Niklas Wahlstrom, Simon J. Godsill
2016 J jnl
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models.
IEEE J. Sel. Top. Signal Process.
Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill
2016 C conf
Sequential sparse system estimation for linear systems with nonlinear observations.
FUSION
James K. Murphy, Simon J. Godsill
2016 C conf
Sparse structure inference for group and network tracking.
FUSION
James K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill
2016 J jnl
Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model.
CoRR
Qi Wei, Marcus Chen, Jean-Yves Tourneret, Simon J. Godsill
2016 — conf
You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection.
AutomotiveUI
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Richard Donkor, Rebecca Wilde, Lee Skrypchuk
2015 J jnl
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation.
CoRR
Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2015 C conf
A Bayesian compressed sensing Kalman filter for direction of arrival estimation.
FUSION
Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill
2015 J jnl
A Bayesian particle filtering method for brain source localisation.
Digit. Signal Process.
Xi Chen, Simo Särkkä, Simon J. Godsill
2015 Misc conf
Bayesian parameter estimation of Jump-Langevin systems for trend following in finance.
ICASSP
James K. Murphy, Simon J. Godsill
2015 Misc conf
Destination inference using bridging distributions.
ICASSP
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Robert Hardy, Simon J. Godsill
2015 Misc conf
Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone.
ICASSP
Simon J. Godsill, Herbert Buchner, Jan Skoglund
2015 Misc conf
Efficient filtering and sampling for a class of time-varying linear systems.
ICASSP
James K. Murphy, Simon J. Godsill
2015 J jnl
Fully Bayesian inference for α-stable distributions using a Poisson series representation.
Digit. Signal Process.
Tatjana Lemke, Marina Riabiz, Simon J. Godsill
2015 C conf
How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking?
FUSION
Allan De Freitas, François Septier, Lyudmila Mihaylova, Simon J. Godsill
2015 — conf
Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction.
HCI (8)
Bashar I. Ahmad, Patrick M. Langdon, Robert Hardy, Simon J. Godsill
2015 — conf
Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study.
AutomotiveUI (adjunct)
Bashar I. Ahmad, Simon J. Godsill, Lee Skrypchuk, Patrick M. Langdon, Robert Hardy
2015 — conf
Touchscreen usability and input performance in vehicles under different road conditions: an evaluative study.
AutomotiveUI
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Lee Skrypchuk, Richard Donkor
2015 Misc conf
Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters.
ICASSP
M. Faizan Ahmad, James K. Murphy, Deniz Vatansever, Emmanuel A. Stamatakis, Simon J. Godsill
2014 Misc conf
A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions.
ICASSP
Tatjana Lemke, Simon J. Godsill
2014 Misc conf
Bayesian detection of single-trial event-related potentials.
ICASSP
Maria Rosario Mestre, Simon J. Godsill, William J. Fitzgerald
2014 C conf
Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles.
FUSION
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill
2014 — conf
Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference.
MLSP
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill
2014 — conf
Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors.
AutomotiveUI
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Eduardo Dias, Lee Skrypchuk
2014 J jnl
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking.
Digit. Signal Process.
Lyudmila Mihaylova, Avishy Carmi, François Septier, Amadou Gning, Sze Kim Pang, Simon J. Godsill
2014 — conf
Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks.
HCI (6)
Bashar I. Ahmad, Patrick M. Langdon, Pete Bunch, Simon J. Godsill
2014 C conf
Road-assisted multiple target tracking in clutter.
FUSION
James K. Murphy, Simon J. Godsill
2013 — conf
Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction.
WASPAA
Jichi Deng, Simon J. Godsill
2013 J jnl
Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo.
IEEE Trans. Signal Process.
Pete Bunch, Simon J. Godsill
2013 — ch.
Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods.
Modeling, Simulation and Visual Analysis of Crowds
Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill
2013 — conf
Intent Recognition Using Neural Networks and Kalman Filters.
CHI-KDD
Pradipta Biswas, Gökçen Aslan Aydemir, Patrick Langdon, Simon J. Godsill
2013 Misc conf
Multiple dipolar sources localization for MEG using Bayesian particle filtering.
ICASSP
Xi Chen, Simon J. Godsill
2013 J jnl
Particle Smoothing Algorithms for Variable Rate Models.
IEEE Trans. Signal Process.
Pete Bunch, Simon J. Godsill
2013 — conf
Particle filtering with progressive Gaussian approximations to the optimal importance density.
CAMSAP
Pete Bunch, Simon J. Godsill
2013 C conf
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods.
FUSION
Xi Chen, Simo Särkkä, Simon J. Godsill
2013 Misc conf
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models.
ICASSP
Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön
2013 — conf
Tracking pitch period using particle filters.
WASPAA
Geliang Zhang, Simon J. Godsill
2013 — conf
User Target Intention Recognition from Cursor Position Using Kalman Filter.
HCI (6)
Gökçen Aslan Aydemir, Patrick M. Langdon, Simon J. Godsill
2012 J jnl
Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers.
IEEE Trans. Speech Audio Process.
Maurice F. Fallon, Simon J. Godsill
2012 C conf
Dynamical models for tracking with the variable rate particle filter.
FUSION
Pete Bunch, Simon J. Godsill
2012 J jnl
Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics.
IEEE J. Sel. Top. Signal Process.
Hugh L. Christensen, James K. Murphy, Simon J. Godsill
2012 Misc conf
Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models.
ICASSP
Tatjana Lemke, Simon J. Godsill
2012 — conf
Simultaneous localization and mapping for non-parametric potential field environments.
SDF
James K. Murphy, Simon J. Godsill
2012 C conf
Structure inference for networks with general non-parametric inter-object relationships.
FUSION
James K. Murphy, Simon J. Godsill
2012 J jnl
The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking.
Autom.
Avishy Carmi, François Septier, Simon J. Godsill
2011 J jnl
Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model.
IEEE Trans. Speech Audio Process.
Jesper Kjær Nielsen, Mads Græsbøll Christensen, Ali Taylan Cemgil, Simon J. Godsill, Søren Holdt Jensen
2011 — conf
Bayesian classification of acoustical waveforms under environmental variability.
WASPAA
Jens E. N. Christensen, Simon J. Godsill
2011 J jnl
Detection and Tracking of Coordinated Groups.
IEEE Trans. Aerosp. Electron. Syst.
Sze Kim Pang, Jack Li, Simon J. Godsill
2011 Misc conf
Enhanced Poisson sum representation for alpha-stable processes.
ICASSP
Tatjana Lemke, Simon J. Godsill
2011 J jnl
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods.
IEEE Trans. Signal Process.
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
2011 Misc conf
Joint Bayesian removal of impulse and background noise.
ICASSP
James K. Murphy, Simon J. Godsill
2011 — conf
MCMC-based tracking and identification of leaders in groups.
ICCV Workshops
Avishy Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill
2011 J jnl
Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes.
IEEE J. Sel. Top. Signal Process.
Paul H. Peeling, Simon J. Godsill
2011 Misc conf
Point process MCMC for sequential music transcription.
ICASSP
Pete Bunch, Simon J. Godsill
2011 — conf
Reinforcement Learning and the Bayesian Control Rule.
AGI
Pedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill
2010 J jnl
Acoustic Source Localization and Tracking Using Track Before Detect.
IEEE Trans. Speech Audio Process.
Maurice F. Fallon, Simon J. Godsill
2010 — conf
Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment.
EUSIPCO
Jesper Kjær Nielsen, Mads Græsbøll Christensen, Ali Taylan Cemgil, Simon J. Godsill, Søren Holdt Jensen
2010 J jnl
Generative Spectrogram Factorization Models for Polyphonic Piano Transcription.
IEEE Trans. Speech Audio Process.
Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill
2010 J jnl
The shifted inverse-gamma model for noise-floor estimation in archived audio recordings.
Signal Process.
Simon J. Godsill
2010 — conf
Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC.
CMMR
Pete Bunch, Simon J. Godsill
2009 J jnl
A Nonreference Image Fusion Metric Based on the Regional Importance Measure.
IEEE J. Sel. Top. Signal Process.
Nedeljko Cvejic, Tapio Seppänen, Simon J. Godsill
2009 C conf
The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking.
FUSION
Avishy Carmi, François Septier, Simon J. Godsill
2009 C conf
Tracking of multiple contaminant clouds.
FUSION
François Septier, Avishy Carmi, Simon J. Godsill
2009 J jnl
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter.
EURASIP J. Adv. Signal Process.
Sze Kim Pang, James D. B. Nelson, Simon J. Godsill, Nick G. Kingsbury
2008 Misc conf
Bayesian extensions to non-negative matrix factorisation for audio signal modelling.
ICASSP
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsill
2008 — conf
Bayesian hierarchical models and inference for musical audio processing.
ISWPC
Paul H. Peeling, A. Taylan Cemgil, Simon J. Godsill
2008 C conf
Ground target group structure and state estimation with particle filtering.
FUSION
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill
2008 Misc conf
Multi-channel bayesian background noise suppression using perceptual cost functions.
ICASSP
Han Lin, Simon J. Godsill
2008 J jnl
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio.
IEEE Trans. Speech Audio Process.
Cédric Févotte, Bruno Torrésani, Laurent Daudet, Simon J. Godsill
2008 C conf
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering.
FUSION
James D. B. Nelson, Sze Kim Pang, Nick G. Kingsbury, Simon J. Godsill
2007 — conf
A Probabilistic Framework for Matching Music Representations.
ISMIR
Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill
2007 J jnl
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo.
Proc. IEEE
Olivier Cappé, Simon J. Godsill, Eric Moulines
2007 J jnl
Bayesian Image Modeling of cDNA Microarray Spots.
IEEE Signal Process. Lett.
Gerard R. Ridgway, Simon J. Godsill
2007 — conf
Bayesian Inference for 2D Gel Electrophoresis Image Analysis.
BIRD
Ji Won Yoon, Simon J. Godsill, ChulHun Kang, Tae-Seong Kim
2007 — conf
Bayesian computational methods for sparse audio and music processing.
EUSIPCO
Simon J. Godsill, Ali Taylan Cemgil, Cédric Févotte, Patrick J. Wolfe
2007 C conf
Ground target modelling, tracking and prediction with road networks.
FUSION
David Salmond, Martin Clark, Richard Vinter, Simon J. Godsill
2007 — conf
Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective.
HCI (5)
Julie R. Jupp, Patrick Langdon, Simon J. Godsill
2007 J jnl
Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters.
Proc. IEEE
Simon J. Godsill, Jaco Vermaak, William Ng, Jack F. Li
2007 J jnl
Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods.
Comput. J.
William Ng, Jack Li, Simon J. Godsill, Sze Kim Pang
2007 — conf
Sequential Inference of Rhythmic Structure in Musical Audio.
ICASSP (4)
Nick Whiteley, A. Taylan Cemgil, Simon J. Godsill
2007 J jnl
Variational and stochastic inference for Bayesian source separation.
Digit. Signal Process.
Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill
2006 J jnl
A Bayesian Approach for Blind Separation of Sparse Sources.
IEEE Trans. Speech Audio Process.
Cédric Févotte, Simon J. Godsill
2006 — conf
Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes.
ICASSP (5)
Simon J. Godsill, Gary (Ligong) Yang
2006 — conf
Bayesian Modelling of Temporal Structure in Musical Audio.
ISMIR
Nick Whiteley, Ali Taylan Cemgil, Simon J. Godsill
2006 — conf
Bayesian inference for multidimensional NMR image reconstruction.
EUSIPCO
Ji Won Yoon, Simon J. Godsill
2006 — conf
Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm.
ICA
Cédric Févotte, Simon J. Godsill
2006 — conf
Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model.
EUSIPCO
William Ng, Sze Kim Pang, Jack Li, Simon J. Godsill
2006 J jnl
On-line Bayesian estimation of signals in symmetric α-stable noise.
IEEE Trans. Signal Process.
Marco J. Lombardi, Simon J. Godsill
2006 — conf
Sparse Regression with Structured Priors: Application to Audio Denoising.
ICASSP (3)
Cédric Févotte, Laurent Daudet, Simon J. Godsill, Bruno Torrésani
2006 J jnl
Sparse linear regression in unions of bases via Bayesian variable selection.
IEEE Signal Process. Lett.
Cédric Févotte, Simon J. Godsill
2005 — conf
Blind separation of sparse sources using variational EM.
EUSIPCO
Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill
2005 — conf
Interpolation of missing data values for audio signal restoration using a Gabor regression model.
ICASSP (5)
Patrick J. Wolfe, Simon J. Godsill
2005 — conf
Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods.
ICASSP (4)
William Ng, Jack Li, Simon J. Godsill, Jaco Vermaak
2005 — conf
Probabilistic phase vocoder and its application to interpolation of missing values in audio signals.
EUSIPCO
Ali Taylan Cemgil, Simon J. Godsill
2005 — conf
Tracking variable number of targets using sequential Monte Carlo methods.
EUSIPCO
William Ng, Jack Li, Simon J. Godsill, Jaco Vermaak
2004 — conf
Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources.
ICA
Cédric Févotte, Simon J. Godsill, Patrick J. Wolfe
2004 — conf
Bayesian estimation of simultaneous musical notes based on frequency domain modelling.
ICASSP (4)
Kunio Kashino, Simon J. Godsill
2004 J jnl
Editorial.
EURASIP J. Adv. Signal Process.
Petar M. Djuric, Simon J. Godsill, Arnaud Doucet
2004 — conf
Models and algorithms for tracking using trans-dimensional sequential Monte Carlo.
ICASSP (3)
Simon J. Godsill, Jaco Vermaak
2004 — conf
Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise.
EUSIPCO
Marco J. Lombardi, Simon J. Godsill
2003 — conf
A perceptually balanced loss function for short-time spectral amplitude estimation.
ICASSP (5)
Patrick J. Wolfe, Simon J. Godsill
2003 J jnl
Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement.
EURASIP J. Adv. Signal Process.
Patrick J. Wolfe, Simon J. Godsill
2003 — conf
Sequential Bayesian Kernel Regression.
NIPS
Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
2002 — conf
Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement.
NIPS
Patrick J. Wolfe, Simon J. Godsill
2002 Misc conf
Bayesian harmonic models for musical pitch estimation and analysis.
ICASSP
Simon J. Godsill, Manuel Davy
2002 Misc conf
Bayesian models for DNA sequencing.
ICASSP
Nicholas M. Haan, Simon J. Godsill
2002 Misc conf
Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation.
ICASSP
Manuel Davy, Simon J. Godsill
2002 J jnl
Guest editorial special issue on monte carlo methods for statistical signal processing.
IEEE Trans. Signal Process.
Petar M. Djuric, Simon J. Godsill
2002 J jnl
MCMC for joint noise reduction and missing data treatment in degraded video.
IEEE Trans. Signal Process.
Anil C. Kokaram, Simon J. Godsill
2002 J jnl
Marginal maximum a posteriori estimation using Markov chain Monte Carlo.
Stat. Comput.
Arnaud Doucet, Simon J. Godsill, Christian P. Robert
2002 J jnl
Monte Carlo smoothing with application to audio signal enhancement.
IEEE Trans. Signal Process.
William Fong, Simon J. Godsill, Arnaud Doucet, Mike West
2002 J jnl
Particle methods for Bayesian modeling and enhancement of speech signals.
IEEE Trans. Speech Audio Process.
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill
2002 — conf
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension.
EUSIPCO
William Fong, Simon J. Godsill
2002 Misc conf
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio.
ICASSP
William Fong, Simon J. Godsill
2001 Misc conf
Estimation of CAR processes observed in noise using Bayesian inference.
ICASSP
Panagiotis Giannopoulos, Simon J. Godsill
2001 — ch.
Improvement Strategies for Monte Carlo Particle Filters.
Sequential Monte Carlo Methods in Practice
Simon J. Godsill, Tim Clapp
2001 J jnl
MCMC methods for restoration of nonlinearly distorted autoregressive signals.
Signal Process.
Paul T. Troughton, Simon J. Godsill
2001 Misc conf
Monte Carlo smoothing for non-linearly distorted signals.
ICASSP
William Fong, Simon J. Godsill
2001 Misc conf
Sequential methods for DNA sequencing.
ICASSP
Nicholas M. Haan, Simon J. Godsill
2000 Misc conf
Inference in symmetric alpha-stable noise using MCMC and the slice sampler.
ICASSP
Simon J. Godsill
2000 Misc conf
Modelling electropherogram data for DNA sequencing using variable dimension MCMC.
ICASSP
Nicholas M. Haan, Simon J. Godsill
2000 Misc conf
Monte Carlo filtering and smoothing with application to time-varying spectral estimation.
ICASSP
Arnaud Doucet, Simon J. Godsill, Mike West
2000 J jnl
On sequential Monte Carlo sampling methods for Bayesian filtering.
Stat. Comput.
Arnaud Doucet, Simon J. Godsill, Christophe Andrieu
2000 Misc conf
Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement.
ICASSP
Patrick J. Wolfe, Simon J. Godsill
1999 Misc conf
Bayesian separation and recovery of convolutively mixed autoregressive sources.
ICASSP
Simon J. Godsill, Christophe Andrieu
1999 Misc conf
Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling.
ICASSP
Tim Clapp, Simon J. Godsill
1999 — conf
MCMC methods for restoration of quantised time series.
NSIP
Paul T. Troughton, Simon J. Godsill
1999 Misc conf
Marginal MAP estimation using Markov chain Monte Carlo.
ICASSP
Christian P. Robert, Arnaud Doucet, Simon J. Godsill
1998 Misc conf
A reversible jump sampler for autoregressive time series.
ICASSP
Paul T. Troughton, Simon J. Godsill
1998 Misc conf
Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations.
ICASSP
Petar M. Djuric, Simon J. Godsill, William J. Fitzgerald, Peter J. W. Rayner
1998 — conf
MCMC methods for restoration of nonlinearly distorted autoregressive signals.
EUSIPCO
Paul T. Troughton, Simon J. Godsill
1998 — conf
Multidimensional optimisation of harmonic signals.
EUSIPCO
Paul J. Walmsley, Simon J. Godsill, Peter J. W. Rayner
1998 — conf
On a new stochastic version of the EM algorithm.
EUSIPCO
Colin Campbell, Simon J. Godsill
1998 J jnl
Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler.
IEEE Trans. Speech Audio Process.
Simon J. Godsill, Peter J. W. Rayner
1997 Misc conf
Bayesian model selection for time series using Markov chain Monte Carlo.
ICASSP
Paul T. Troughton, Simon J. Godsill
1997 — conf
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data.
ICIAP (2)
Anil C. Kokaram, Simon J. Godsill
1997 — conf
Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data.
ICIP (2)
Anil C. Kokaram, Simon J. Godsill
1997 Misc conf
Robust modelling of noisy ARMA signals.
ICASSP
Simon J. Godsill
1996 — conf
A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors.
ECCV (2)
Anil C. Kokaram, Simon J. Godsill
1996 — conf
Joint interpolation, motion and parameter estimation for image sequences with missing data.
EUSIPCO
Simon J. Godsill, Anil C. Kokaram
1996 Misc conf
Multi-channel signal separation.
ICASSP
Dominic C. B. Chan, Peter J. W. Rayner, Simon J. Godsill
1996 Misc conf
Robust noise reduction for speech and audio signals.
ICASSP
Simon J. Godsill, Peter J. W. Rayner
1995 J jnl
A Bayesian approach to the restoration of degraded audio signals.
IEEE Trans. Speech Audio Process.
Simon J. Godsill, Peter J. W. Rayner
1994 — conf
A two-channel approach to the removal of impulsive noise from archived recordings.
ICASSP (2)
Christopher M. Hicks, Simon J. Godsill
1994 — conf
Recursive restoration of pitch variation defects in musical recordings.
ICASSP (2)
Simon J. Godsill
1993 — conf
Frequency-based interpolation of sampled signals with applications in audio restoration.
ICASSP (1)
Simon J. Godsill, Peter J. W. Rayner
1992 Misc conf
A Bayesian approach to the detection and correction of error bursts in audio signals.
ICASSP
Simon J. Godsill, Peter J. W. Rayner