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ORCIDSimon J. Godsill
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
[j66]Yaman Kindap, Simon J. Godsill:
Point process simulation of generalised hyperbolic Lévy processes. Stat. Comput. 34(1): 33 (2024)- [j65]Runze Gan
, Qing Li, Simon J. Godsill:
Variational Tracking and Redetection for Closely-Spaced Objects in Heavy Clutter. IEEE Trans. Aerosp. Electron. Syst. 60(4): 5286-5311 (2024) - [j64]Nermin Caber, Bashar I. Ahmad, Jiaming Liang, Simon J. Godsill, Alexandra Bremers, Philip Thomas, David Oxtoby, Lee Skrypchuk:
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data. IEEE Trans. Intell. Veh. 9(1): 3047-3060 (2024) - [c159]Zhen Yuen Chong, Henry Pritchett, Qing Li, Runze Gan, Yaman Kindap, Simon J. Godsill:
Implementation of Non-Gaussian Motion Models Within Stone Soup. FUSION 2024: 1-8 - [c158]James M. Cozens, Simon J. Godsill:
Bimodal Multi-Object Localisation, Siteswap Inference, and Analysis for Competitive Juggling. FUSION 2024: 1-8 - [c157]Qing Li, Runze Gan, Simon J. Godsill:
Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter. FUSION 2024: 1-7 - [c156]Zixin Liu, Zachary Tiller, Simon J. Godsill:
Inference for Non-Gaussian Dynamical Models with Time-varying Skew. FUSION 2024: 1-8 - [c155]Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill:
Reversible Jump Markov Chain Monte Carlo for Pulse Fitting. ICASSP 2024: 9556-9560 - [i11]Qing Li, Runze Gan, Simon J. Godsill:
Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter. CoRR abs/2408.13689 (2024) - 2023
- [j63]Sayed Pouria Talebi, Simon J. Godsill, Danilo P. Mandic:
Filtering Structures for α-Stable Systems. IEEE Control. Syst. Lett. 7: 553-558 (2023) - [j62]Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang:
Special issue on non-deterministic machine learning. J. Frankl. Inst. 360(17): 12875-12877 (2023) - [j61]Qing Li, Runze Gan, Jiaming Liang, Simon J. Godsill:
An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process. IEEE Trans. Signal Process. 71: 105-120 (2023) - [c154]Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill:
Flexible Multi-Target Tracking with Track Management Using Dirichlet and Gaussian Processes. FUSION 2023: 1-8 - [c153]Joseph Johnson, Yaman Kindap, Simon J. Godsill:
Inference for Variance-Gamma Driven Stochastic Systems. FUSION 2023: 1-8 - [c152]Qing Li, Runze Gan, Simon J. Godsill:
A Scalable Rao-Blackwellised Sequential MCMC Sampler for Joint Detection and Tracking in Clutter. FUSION 2023: 1-8 - [c151]Fred Goodyer, Bashar I. Ahmad, Simon J. Godsill:
GaPP: Multi-Target Tracking with Gaussian Processes. ICASSP 2023: 1-5 - [i10]Nermin Caber, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill, Alexandra Bremers, Philip Thomas, David Oxtoby, Lee Skrypchuk:
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data. CoRR abs/2303.14720 (2023) - [i9]Qing Li, Runze Gan, Simon J. Godsill:
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network. CoRR abs/2309.00807 (2023) - 2022
- [j60]Simon J. Godsill, Yaman Kindap:
Point process simulation of generalised inverse Gaussian processes and estimation of the Jaeger integral. Stat. Comput. 32(1): 13 (2022) - [j59]Rui Gao, Simo Särkkä, Rubén M. Clavería, Simon J. Godsill:
Autonomous Tracking and State Estimation With Generalized Group Lasso. IEEE Trans. Cybern. 52(11): 12056-12070 (2022) - [c150]Runze Gan, Qing Li, Simon J. Godsill:
A Variational Bayes Association-based Multi-object Tracker under the Non-homogeneous Poisson Measurement Process. FUSION 2022: 1-8 - [c149]Shidrokh Goudarzi, Wenwu Wang, Pei Xiao, Lyudmila Mihaylova, Simon J. Godsill:
UAV-enabled Edge Computing for Optimal Task Distribution in Target Tracking. FUSION 2022: 1-7 - [c148]Rubén M. Clavería, Simon J. Godsill:
Sequential MCMC Methods for Audio Signal Enhancement. ICASSP 2022: 856-860 - [c147]Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang:
Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. ICASSP 2022: 5068-5072 - [c146]Qing Li, Jiaming Liang, Simon J. Godsill:
Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process. ICASSP 2022: 5503-5507 - [c145]Runze Gan, Simon J. Godsill:
Conditionally Factorized Variational Bayes with Importance Sampling. ICASSP 2022: 5777-5781 - [i8]Yaman Kindap, Simon J. Godsill:
Non-Gaussian Process Regression. CoRR abs/2209.03117 (2022) - 2021
- [j58]Bashar I. Ahmad, Simon J. Godsill, Vikram Krishnamurthy, Peter Willett, Muralidhar Rangaswamy:
Foreword to the Special Section on Meta-Level and Adversarial Tracking. IEEE Trans. Aerosp. Electron. Syst. 57(4): 1994-1995 (2021) - [j57]Runze Gan, Bashar I. Ahmad, Simon J. Godsill:
Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2021-2038 (2021) - [j56]Qing Li, Bashar I. Ahmad, Simon J. Godsill:
Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods. IEEE Trans. Aerosp. Electron. Syst. 57(4): 2039-2052 (2021) - [j55]Chenhao Li, Simon J. Godsill:
Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior. IEEE Trans. Signal Process. 69: 1154-1168 (2021) - [c144]Chenhao Li, Simon J. Godsill:
Variational Parameter Learning in Sequential State-Space Model Via Particle Filtering. ICASSP 2021: 5589-5593 - 2020
- [j54]Nobutaka Ito, Simon J. Godsill:
A Multi-Target Track-Before-Detect Particle Filter Using Superpositional Data in Non-Gaussian Noise. IEEE Signal Process. Lett. 27: 1075-1079 (2020) - [j53]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Nonasymptotic Gaussian Approximation for Inference With Stable Noise. IEEE Trans. Inf. Theory 66(8): 4966-4991 (2020) - [c143]Ulrika Andersson, Simon J. Godsill:
Optimum Kernel Particle Filter for Asymmetric Laplace Noise in Multivariate Models. FUSION 2020: 1-4 - [c142]Runze Gan, Simon J. Godsill:
$\alpha$ -Stable Lévy State-space Models for Manoeuvring Object Tracking. FUSION 2020: 1-7 - [c141]Qing Li, Simon J. Godsill:
A New Leader-follower Model for Bayesian Tracking. FUSION 2020: 1-7 - [c140]Ulrika Andersson, Simon J. Godsill:
Optimum Kernel Particle Filter for Asymmetric Laplace Noise. ICASSP 2020: 5890-5894 - [c139]Qing Li, Simon J. Godsill, Jiaming Liang, Bashar I. Ahmad:
Inferring Dynamic Group Leadership Using Sequential Bayesian Methods. ICASSP 2020: 8911-8915 - [c138]Yinhong Liu, Simon J. Godsill:
Multi-channel audio statistical restoration. ICSPCC 2020: 1-5 - [c137]Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill:
Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model. MLSP 2020: 1-6
2010 – 2019
- 2019
- [j52]Bashar I. Ahmad, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon, Simon J. Godsill:
Touchless Selection Schemes for Intelligent Automotive User Interfaces With Predictive Mid-Air Touch. Int. J. Mob. Hum. Comput. Interact. 11(3): 18-39 (2019) - [j51]Jiaming Liang, Bashar I. Ahmad, Runze Gan, Pat Langdon, Robert Hardy, Simon J. Godsill:
On Destination Prediction Based on Markov Bridging Distributions. IEEE Signal Process. Lett. 26(11): 1663-1667 (2019) - [j50]Bashar I. Ahmad, Patrick M. Langdon, Jiaming Liang, Simon J. Godsill, Mauricio Munoz Delgado, Thomas Popham:
Driver and Passenger Identification From Smartphone Data. IEEE Trans. Intell. Transp. Syst. 20(4): 1278-1288 (2019) - [c136]Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis:
The Lévy State Space Model. ACSSC 2019: 487-494 - [c135]Herbert Buchner, Karim Helwani, Simon J. Godsill:
Unsupervised Bayesian Estimation and Tracking of Time-Varying Convolutive Multichannel Systems. FUSION 2019: 1-8 - [c134]Jiaming Liang, Simon J. Godsill:
Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking. ICASSP 2019: 5212-5216 - [c133]Simon J. Godsill:
Particle Filtering: the First 25 Years and beyond. ICASSP 2019: 7760-7764 - [c132]Herbert Buchner, Karim Helwani, Simon J. Godsill:
Blind Signal Processing for Time-varying Convolutive Mixing Systems Based on Sequence Estimation on Partly Smooth Manifolds. ICASSP 2019: 7913-7917 - [c131]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill:
A Bayesian Framework for Intent Prediction in Object Tracking. ICASSP 2019: 8439-8443 - [c130]Runze Gan, Jiaming Liang, Bashar I. Ahmad, Simon J. Godsill:
Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters. MLSP 2019: 1-6 - [i7]Simon J. Godsill, Marina Riabiz, Ioannis Kontoyiannis:
The Lévy State Space Model. CoRR abs/1912.12524 (2019) - 2018
- [j49]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill:
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions. IEEE Trans. Cybern. 48(1): 215-227 (2018) - [c129]Bashar I. Ahmad, Chrisminder Hare, Harpreet Singh, Arber Shabani, Briana Lindsay, Lee Skrypchuk, Patrick Langdon, Simon J. Godsill:
Selection Facilitation Schemes for Predictive Touch with Mid-air Pointing Gestures in Automotive Displays. AutomotiveUI 2018: 21-32 - [c128]Bashar I. Ahmad, Simon J. Godsill, Patrick M. Langdon, Lee Skrypchuk:
Predictive Touch: A Novel HMI Technology for Intelligent Displays in Automotive. AutomotiveUI (adjunct) 2018: 259-260 - [c127]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill:
A Meta-Tracking Approach for Predicting the Driver or Passenger Intent. FUSION 2018: 1-5 - [c126]Jiaming Liang, Simon J. Godsill:
A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model. FUSION 2018: 1896-1903 - [c125]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill:
Stabilising Touch Interactions in Cockpits, Aerospace, and Vibrating Environments. HCI (7) 2018: 133-145 - [c124]Chenhao Li, Simon J. Godsill:
Sequential Inference Methods for Non-Homogeneous Poisson Processes with State-Space Prior. ICASSP 2018: 2856-2860 - [c123]Pinzhang Wang, Lin Li, Simon J. Godsill:
Particle Filtering and Inference for Limit Order Books in High Frequency Finance. ICASSP 2018: 4264-4268 - [c122]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Sharp Gaussian Approximation Bounds for Linear Systems with $\alpha$ -stable Noise. ISIT 2018: 1086-1090 - [i6]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Nonasymptotic Gaussian Approximation for Linear Systems with Stable Noise [Preliminary Version]. CoRR abs/1802.10065 (2018) - 2017
- [j48]Bashar I. Ahmad, James K. Murphy, Simon J. Godsill, Patrick M. Langdon, Robert Hardy:
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework. IEEE Signal Process. Mag. 34(2): 82-94 (2017) - [j47]Qi Wei, Marcus Chen, Jean-Yves Tourneret, Simon J. Godsill:
Unsupervised Nonlinear Spectral Unmixing Based on a Multilinear Mixing Model. IEEE Trans. Geosci. Remote. Sens. 55(8): 4534-4544 (2017) - [c121]Pradipta Biswas, Samuel Twist, Simon J. Godsill:
Intelligent Finger Movement Controlled Interface for Automotive Environment. BCS HCI 2017 - [c120]Marina Riabiz, Tohid Ardeshiri, Ioannis Kontoyiannis, Simon J. Godsill:
Simulated convergence rates with application to an intractable α-stable inference problem. CAMSAP 2017: 1-5 - [c119]Bashar I. Ahmad, Tohid Ardeshiri, Pat Langdon, Simon J. Godsill, Thomas Popham:
Modelling received signal strength from on-vehicle BLE beacons using skewed distributions: A preliminary study. FUSION 2017: 1-7 - [c118]Henri Nurminen, Robert Piché, Simon J. Godsill:
Gaussian flow sigma point filter for nonlinear Gaussian state-space models. FUSION 2017: 1-8 - [c117]Herbert Buchner, Karim Helwani, Bashar I. Ahmad, Simon J. Godsill:
Efficient adaptive filtering in compressive domains for sparse systems and relation to transform-domain adaptive filtering. ICASSP 2017: 3859-3863 - [c116]Tohid Ardeshiri, Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill:
Efficient bridging-based destination inference in object tracking. ICASSP 2017: 4406-4410 - [c115]Marina Riabiz, Simon J. Godsill:
Approximate simulation of linear continuous time models driven by asymmetric stable Lévy processes. ICASSP 2017: 4676-4680 - [c114]Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill:
Convergence results for tractable inference in α-stable stochastic processes. DSP 2017: 1-5 - [c113]Roland Hostettler, Simo Särkkä, Simon J. Godsill:
Rao-Blackwellized particle mcmc for parameter estimation in spatio-temporal Gaussian processes. MLSP 2017: 1-6 - [i5]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects. CoRR abs/1702.03950 (2017) - 2016
- [j46]James K. Murphy, Simon J. Godsill:
Blocked Particle Gibbs Schemes for High Dimensional Interacting Systems. IEEE J. Sel. Top. Signal Process. 10(2): 328-342 (2016) - [j45]Fredrik Lindsten, Pete Bunch, Simo Särkkä, Thomas B. Schön, Simon J. Godsill:
Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models. IEEE J. Sel. Top. Signal Process. 10(2): 353-365 (2016) - [j44]M. Faizan Ahmad, James K. Murphy, Deniz Vatansever, Emmanuel A. Stamatakis, Simon J. Godsill:
Bayesian Inference of Task-Based Functional Brain Connectivity Using Markov Chain Monte Carlo Methods. IEEE J. Sel. Top. Signal Process. 10(7): 1150-1159 (2016) - [j43]Geliang Zhang, Hugh L. Christensen, Guolong Li, Simon J. Godsill:
A Correction Note for Price Dynamics in a Markovian Limit Order Market. SIAM J. Financial Math. 7(1): 152-158 (2016) - [j42]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill:
R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation. IEEE Signal Process. Lett. 23(11): 1632-1636 (2016) - [j41]Geliang Zhang, Simon J. Godsill:
Fundamental Frequency Estimation in Speech Signals With Variable Rate Particle Filters. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 890-900 (2016) - [j40]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Lee Skrypchuk:
Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles. IEEE Trans. Cybern. 46(4): 878-889 (2016) - [j39]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill:
Multiband Image Fusion Based on Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 54(12): 7236-7249 (2016) - [j38]Pete Bunch, James K. Murphy, Simon J. Godsill:
Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo. IEEE Trans. Signal Process. 64(16): 4100-4112 (2016) - [c112]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Richard Donkor, Rebecca Wilde, Lee Skrypchuk:
You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection. AutomotiveUI 2016: 113-120 - [c111]Pete Bunch, James K. Murphy, Simon J. Godsill:
Annealed MCMC for Bayesian learning of linear Gaussian state space models with changepoints. FUSION 2016: 597-605 - [c110]James K. Murphy, Simon J. Godsill:
Sequential sparse system estimation for linear systems with nonlinear observations. FUSION 2016: 606-611 - [c109]Emre Özkan, Niklas Wahlstrom, Simon J. Godsill:
Rao-Blackwellised particle filter for star-convex extended target tracking models. FUSION 2016: 1193-1199 - [c108]James K. Murphy, Emre Özkan, Pete Bunch, Simon J. Godsill:
Sparse structure inference for group and network tracking. FUSION 2016: 1208-1214 - [c107]Qi Wei, Simon J. Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret:
High-resolution hyperspectral image fusion based on spectral unmixing. FUSION 2016: 1714-1719 - [c106]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill:
Predictive Pointing from Automotive to Inclusive Design. HCI (9) 2016: 527-537 - [c105]Herbert Buchner, Jan Skoglund, Simon J. Godsill:
An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model. ICASSP 2016: 614-618 - [c104]M. Faizan Ahmad, James K. Murphy, Simon J. Godsill, Deniz Vatansever, Emmanuel A. Stamatakis:
A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity. ICASSP 2016: 878-882 - [c103]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon J. Godsill:
Blind model-based fusion of multi-band and panchromatic images. MFI 2016: 21-25 - [c102]Marina Riabiz, Tohid Ardeshiri, Simon J. Godsill:
A central limit theorem with application to inference in \(\alpha\)-stable regression models. NIPS Time Series Workshop 2016: 70-82 - [i4]Qi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill:
Multi-Band Image Fusion Based on Spectral Unmixing. CoRR abs/1603.08720 (2016) - [i3]Qi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill:
R-FUSE: Robust Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation. CoRR abs/1604.01818 (2016) - [i2]Qi Wei, Marcus Chen, Jean-Yves Tourneret, Simon J. Godsill:
Unsupervised Nonlinear Spectral Unmixing based on a Multilinear Mixing Model. CoRR abs/1604.04293 (2016) - 2015
- [j37]Tatjana Lemke, Marina Riabiz, Simon J. Godsill:
Fully Bayesian inference for α-stable distributions using a Poisson series representation. Digit. Signal Process. 47: 96-115 (2015) - [j36]Xi Chen, Simo Särkkä, Simon J. Godsill:
A Bayesian particle filtering method for brain source localisation. Digit. Signal Process. 47: 192-204 (2015) - [c101]Bashar I. Ahmad, Simon J. Godsill, Lee Skrypchuk, Patrick M. Langdon, Robert Hardy:
Intelligent in-vehicle touchscreen aware of the user intent for reducing distractions: a pilot study. AutomotiveUI (adjunct) 2015: 2-7 - [c100]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Lee Skrypchuk, Richard Donkor:
Touchscreen usability and input performance in vehicles under different road conditions: an evaluative study. AutomotiveUI 2015: 47-54 - [c99]Allan De Freitas, François Septier, Lyudmila Mihaylova, Simon J. Godsill:
How can subsampling reduce complexity in sequential MCMC methods and deal with big data in target tracking? FUSION 2015: 134-141 - [c98]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
A Bayesian compressed sensing Kalman filter for direction of arrival estimation. FUSION 2015: 969-975 - [c97]Bashar I. Ahmad, Patrick M. Langdon, Robert Hardy, Simon J. Godsill:
Intelligent Intent-Aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction. HCI (8) 2015: 3-14 - [c96]Simon J. Godsill, Herbert Buchner, Jan Skoglund:
Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone. ICASSP 2015: 379-383 - [c95]M. Faizan Ahmad, James K. Murphy, Deniz Vatansever, Emmanuel A. Stamatakis, Simon J. Godsill:
Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters. ICASSP 2015: 798-802 - [c94]James K. Murphy, Simon J. Godsill:
Efficient filtering and sampling for a class of time-varying linear systems. ICASSP 2015: 3701-3705 - [c93]James K. Murphy, Simon J. Godsill:
Bayesian parameter estimation of Jump-Langevin systems for trend following in finance. ICASSP 2015: 4125-4129 - [c92]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Robert Hardy, Simon J. Godsill:
Destination inference using bridging distributions. ICASSP 2015: 5585-5589 - [i1]Matthew B. Hawes, Lyudmila Mihaylova, François Septier, Simon J. Godsill:
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation. CoRR abs/1509.06290 (2015) - 2014
- [j35]Lyudmila Mihaylova, Avishy Carmi, François Septier, Amadou Gning, Sze Kim Pang, Simon J. Godsill:
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking. Digit. Signal Process. 25: 1-16 (2014) - [c91]Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill, Robert Hardy, Eduardo Dias, Lee Skrypchuk:
Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors. AutomotiveUI 2014: 30:1-30:8 - [c90]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill:
Bayesian target prediction from partial finger tracks: Aiding interactive displays in vehicles. FUSION 2014: 1-7 - [c89]James K. Murphy, Simon J. Godsill:
Road-assisted multiple target tracking in clutter. FUSION 2014: 1-8 - [c88]Bashar I. Ahmad, Patrick M. Langdon, Pete Bunch, Simon J. Godsill:
Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks. HCI (6) 2014: 427-438 - [c87]Maria Rosario Mestre, Simon J. Godsill, William J. Fitzgerald:
Bayesian detection of single-trial event-related potentials. ICASSP 2014: 4693-4697 - [c86]Tatjana Lemke, Simon J. Godsill:
A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions. ICASSP 2014: 8023-8027 - [c85]Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon, Simon J. Godsill:
Filtering perturbed in-vehicle pointing gesture trajectories: Improving the reliability of intent inference. MLSP 2014: 1-6 - 2013
- [j34]Pete Bunch, Simon J. Godsill:
Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo. IEEE Trans. Signal Process. 61(4): 956-963 (2013) - [j33]Pete Bunch, Simon J. Godsill:
Particle Smoothing Algorithms for Variable Rate Models. IEEE Trans. Signal Process. 61(7): 1663-1675 (2013) - [c84]Pete Bunch, Simon J. Godsill:
Particle filtering with progressive Gaussian approximations to the optimal importance density. CAMSAP 2013: 360-363 - [c83]Xi Chen, Simo Särkkä, Simon J. Godsill:
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods. FUSION 2013: 580-587 - [c82]Gökçen Aslan Aydemir, Patrick M. Langdon, Simon J. Godsill:
User Target Intention Recognition from Cursor Position Using Kalman Filter. HCI (6) 2013: 419-426 - [c81]Xi Chen, Simon J. Godsill:
Multiple dipolar sources localization for MEG using Bayesian particle filtering. ICASSP 2013: 949-953 - [c80]Fredrik Lindsten, Pete Bunch, Simon J. Godsill, Thomas B. Schön:
Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. ICASSP 2013: 6288-6292 - [c79]Pradipta Biswas, Gökçen Aslan Aydemir, Patrick Langdon, Simon J. Godsill:
Intent Recognition Using Neural Networks and Kalman Filters. CHI-KDD 2013: 112-123 - [c78]Jichi Deng, Simon J. Godsill:
Frequency domain multi-channel expectation maximization algorithm for audio background noise reduction. WASPAA 2013: 1-4 - [c77]Geliang Zhang, Simon J. Godsill:
Tracking pitch period using particle filters. WASPAA 2013: 1-4 - [p2]Avishy Y. Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill:
Inferring Leadership from Group Dynamics Using Markov Chain Monte Carlo Methods. Modeling, Simulation and Visual Analysis of Crowds 2013: 325-346 - 2012
- [j32]Avishy Carmi, François Septier, Simon J. Godsill:
The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking. Autom. 48(10): 2454-2467 (2012) - [j31]Hugh L. Christensen, James K. Murphy, Simon J. Godsill:
Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics. IEEE J. Sel. Top. Signal Process. 6(4): 366-380 (2012) - [j30]Maurice F. Fallon, Simon J. Godsill:
Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers. IEEE Trans. Speech Audio Process. 20(4): 1409-1415 (2012) - [c76]Pete Bunch, Simon J. Godsill:
Dynamical models for tracking with the variable rate particle filter. FUSION 2012: 1769-1775 - [c75]James K. Murphy, Simon J. Godsill:
Structure inference for networks with general non-parametric inter-object relationships. FUSION 2012: 2193-2200 - [c74]Tatjana Lemke, Simon J. Godsill:
Linear gaussian computations for near-exact Bayesian Monte Carlo inference in skewed alpha-stable time series models. ICASSP 2012: 3737-3740 - [c73]James K. Murphy, Simon J. Godsill:
Simultaneous localization and mapping for non-parametric potential field environments. SDF 2012: 1-6 - 2011
- [j29]Paul H. Peeling, Simon J. Godsill:
Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes. IEEE J. Sel. Top. Signal Process. 5(6): 1133-1143 (2011) - [j28]Sze Kim Pang, Jack Li, Simon J. Godsill:
Detection and Tracking of Coordinated Groups. IEEE Trans. Aerosp. Electron. Syst. 47(1): 472-502 (2011) - [j27]Jesper Kjær Nielsen, Mads Græsbøll Christensen, Ali Taylan Cemgil, Simon J. Godsill, Søren Holdt Jensen:
Bayesian Interpolation and Parameter Estimation in a Dynamic Sinusoidal Model. IEEE Trans. Speech Audio Process. 19(7): 1986-1998 (2011) - [j26]Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill:
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods. IEEE Trans. Signal Process. 59(4): 1383-1396 (2011) - [c72]Pedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill:
Reinforcement Learning and the Bayesian Control Rule. AGI 2011: 281-285 - [c71]James K. Murphy, Simon J. Godsill:
Joint Bayesian removal of impulse and background noise. ICASSP 2011: 261-264 - [c70]Tatjana Lemke, Simon J. Godsill:
Enhanced Poisson sum representation for alpha-stable processes. ICASSP 2011: 4100-4103 - [c69]Pete Bunch, Simon J. Godsill:
Point process MCMC for sequential music transcription. ICASSP 2011: 5936-5939 - [c68]Avishy Carmi, Lyudmila Mihaylova, François Septier, Sze Kim Pang, Pini Gurfil, Simon J. Godsill:
MCMC-based tracking and identification of leaders in groups. ICCV Workshops 2011: 112-119 - [c67]Jens E. N. Christensen, Simon J. Godsill:
Bayesian classification of acoustical waveforms under environmental variability. WASPAA 2011: 281-284 - 2010
- [j25]Simon J. Godsill:
The shifted inverse-gamma model for noise-floor estimation in archived audio recordings. Signal Process. 90(4): 991-999 (2010) - [j24]Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill:
Generative Spectrogram Factorization Models for Polyphonic Piano Transcription. IEEE Trans. Speech Audio Process. 18(3): 519-527 (2010) - [j23]Maurice F. Fallon, Simon J. Godsill:
Acoustic Source Localization and Tracking Using Track Before Detect. IEEE Trans. Speech Audio Process. 18(6): 1228-1242 (2010) - [c66]Pete Bunch, Simon J. Godsill:
Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC. CMMR 2010: 76-83 - [c65]Jesper Kjær Nielsen, Mads Græsbøll Christensen, Ali Taylan Cemgil, Simon J. Godsill, Søren Holdt Jensen:
Bayesian interpolation in a dynamic sinusoidal model with application to packet-loss concealment. EUSIPCO 2010: 239-243
2000 – 2009
- 2009
- [j22]Sze Kim Pang, James D. B. Nelson, Simon J. Godsill, Nick G. Kingsbury:
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter. EURASIP J. Adv. Signal Process. 2009 (2009) - [j21]Nedeljko Cvejic, Tapio Seppänen, Simon J. Godsill:
A Nonreference Image Fusion Metric Based on the Regional Importance Measure. IEEE J. Sel. Top. Signal Process. 3(2): 212-221 (2009) - [c64]Avishy Carmi, François Septier, Simon J. Godsill:
The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking. FUSION 2009: 1179-1186 - [c63]François Septier, Avishy Carmi, Simon J. Godsill:
Tracking of multiple contaminant clouds. FUSION 2009: 1280-1287 - 2008
- [j20]Cédric Févotte, Bruno Torrésani, Laurent Daudet, Simon J. Godsill:
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio. IEEE Trans. Speech Audio Process. 16(1): 174-185 (2008) - [c62]Amadou Gning, Lyudmila Mihaylova, Simon Maskell, Sze Kim Pang, Simon J. Godsill:
Ground target group structure and state estimation with particle filtering. FUSION 2008: 1-8 - [c61]James D. B. Nelson, Sze Kim Pang, Nick G. Kingsbury, Simon J. Godsill:
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering. FUSION 2008: 1-7 - [c60]Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsill:
Bayesian extensions to non-negative matrix factorisation for audio signal modelling. ICASSP 2008: 1825-1828 - [c59]Han Lin, Simon J. Godsill:
Multi-channel bayesian background noise suppression using perceptual cost functions. ICASSP 2008: 3429-3432 - [c58]Paul H. Peeling, A. Taylan Cemgil, Simon J. Godsill:
Bayesian hierarchical models and inference for musical audio processing. ISWPC 2008: 278-282 - 2007
- [j19]William Ng, Jack Li, Simon J. Godsill, Sze Kim Pang:
Multitarget Initiation, Tracking and Termination Using Bayesian Monte Carlo Methods. Comput. J. 50(6): 674-693 (2007) - [j18]Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill:
Variational and stochastic inference for Bayesian source separation. Digit. Signal Process. 17(5): 891-913 (2007) - [j17]Olivier Cappé, Simon J. Godsill, Eric Moulines:
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo. Proc. IEEE 95(5): 899-924 (2007) - [j16]Simon J. Godsill, Jaco Vermaak, William Ng, Jack F. Li:
Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters. Proc. IEEE 95(5): 925-952 (2007) - [j15]Gerard R. Ridgway, Simon J. Godsill:
Bayesian Image Modeling of cDNA Microarray Spots. IEEE Signal Process. Lett. 14(10): 653-656 (2007) - [c57]Ji Won Yoon, Simon J. Godsill, ChulHun Kang, Tae-Seong Kim:
Bayesian Inference for 2D Gel Electrophoresis Image Analysis. BIRD 2007: 343-356 - [c56]Simon J. Godsill, Ali Taylan Cemgil, Cédric Févotte, Patrick J. Wolfe:
Bayesian computational methods for sparse audio and music processing. EUSIPCO 2007: 345-349 - [c55]David Salmond, Martin Clark, Richard Vinter, Simon J. Godsill:
Ground target modelling, tracking and prediction with road networks. FUSION 2007: 1-8 - [c54]Julie R. Jupp, Patrick Langdon, Simon J. Godsill:
Mobile Computing in Maintenance Activities: A 'Situational Induced Impairments and Disabilities' Perspective. HCI (5) 2007: 696-705 - [c53]Nick Whiteley, A. Taylan Cemgil, Simon J. Godsill:
Sequential Inference of Rhythmic Structure in Musical Audio. ICASSP (4) 2007: 1321-1324 - [c52]Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill:
A Probabilistic Framework for Matching Music Representations. ISMIR 2007: 267-272 - 2006
- [j14]Cédric Févotte, Simon J. Godsill:
Sparse linear regression in unions of bases via Bayesian variable selection. IEEE Signal Process. Lett. 13(7): 441-444 (2006) - [j13]Cédric Févotte, Simon J. Godsill:
A Bayesian Approach for Blind Separation of Sparse Sources. IEEE Trans. Speech Audio Process. 14(6): 2174-2188 (2006) - [j12]Marco J. Lombardi, Simon J. Godsill:
On-line Bayesian estimation of signals in symmetric α-stable noise. IEEE Trans. Signal Process. 54(2): 775-779 (2006) - [c51]William Ng, Sze Kim Pang, Jack Li, Simon J. Godsill:
Efficient variable rate particle filters for tracking manoeuvring targets using an MRF-based motion model. EUSIPCO 2006: 1-5 - [c50]Ji Won Yoon, Simon J. Godsill:
Bayesian inference for multidimensional NMR image reconstruction. EUSIPCO 2006: 1-5 - [c49]Cédric Févotte, Simon J. Godsill:
Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm. ICA 2006: 593-600 - [c48]Cédric Févotte, Laurent Daudet, Simon J. Godsill, Bruno Torrésani:
Sparse Regression with Structured Priors: Application to Audio Denoising. ICASSP (3) 2006: 57-60 - [c47]Simon J. Godsill, Gary (Ligong) Yang:
Bayesian Inference for Continuous-Time Arma Models Driven by Non-Gaussian LÉVY Processes. ICASSP (5) 2006: 601-604 - [c46]Nick Whiteley, Ali Taylan Cemgil, Simon J. Godsill:
Bayesian Modelling of Temporal Structure in Musical Audio. ISMIR 2006: 29-34 - 2005
- [c45]Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill:
Blind separation of sparse sources using variational EM. EUSIPCO 2005: 1-4 - [c44]Ali Taylan Cemgil, Simon J. Godsill:
Probabilistic phase vocoder and its application to interpolation of missing values in audio signals. EUSIPCO 2005: 1-4 - [c43]William Ng, Jack Li, Simon J. Godsill, Jaco Vermaak:
Tracking variable number of targets using sequential Monte Carlo methods. EUSIPCO 2005: 1-4 - [c42]Patrick J. Wolfe, Simon J. Godsill:
Interpolation of missing data values for audio signal restoration using a Gabor regression model. ICASSP (5) 2005: 517-520 - [c41]William Ng, Jack Li, Simon J. Godsill, Jaco Vermaak:
Multitarget tracking using a new soft-gating approach and sequential Monte Carlo methods. ICASSP (4) 2005: 1049-1052 - 2004
- [j11]Petar M. Djuric, Simon J. Godsill, Arnaud Doucet:
Editorial. EURASIP J. Adv. Signal Process. 2004(15): 2239-2241 (2004) - [c40]Marco J. Lombardi, Simon J. Godsill:
Monte Carlo Bayesian filtering and smoothing for TVAR signals in symmetric α-stable noise. EUSIPCO 2004: 865-872 - [c39]Cédric Févotte, Simon J. Godsill, Patrick J. Wolfe:
Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources. ICA 2004: 398-405 - [c38]Kunio Kashino, Simon J. Godsill:
Bayesian estimation of simultaneous musical notes based on frequency domain modelling. ICASSP (4) 2004: 305-308 - [c37]Simon J. Godsill, Jaco Vermaak:
Models and algorithms for tracking using trans-dimensional sequential Monte Carlo. ICASSP (3) 2004: 976-979 - 2003
- [j10]Patrick J. Wolfe, Simon J. Godsill:
Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement. EURASIP J. Adv. Signal Process. 2003(10): 1043-1051 (2003) - [c36]Patrick J. Wolfe, Simon J. Godsill:
A perceptually balanced loss function for short-time spectral amplitude estimation. ICASSP (5) 2003: 425-428 - [c35]Jaco Vermaak, Simon J. Godsill, Arnaud Doucet:
Sequential Bayesian Kernel Regression. NIPS 2003: 113-120 - 2002
- [j9]Arnaud Doucet, Simon J. Godsill, Christian P. Robert:
Marginal maximum a posteriori estimation using Markov chain Monte Carlo. Stat. Comput. 12(1): 77-84 (2002) - [j8]Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill:
Particle methods for Bayesian modeling and enhancement of speech signals. IEEE Trans. Speech Audio Process. 10(3): 173-185 (2002) - [j7]Petar M. Djuric, Simon J. Godsill:
Guest editorial special issue on monte carlo methods for statistical signal processing. IEEE Trans. Signal Process. 50(2): 173 (2002) - [j6]Anil C. Kokaram, Simon J. Godsill:
MCMC for joint noise reduction and missing data treatment in degraded video. IEEE Trans. Signal Process. 50(2): 189-205 (2002) - [j5]William Fong, Simon J. Godsill, Arnaud Doucet, Mike West:
Monte Carlo smoothing with application to audio signal enhancement. IEEE Trans. Signal Process. 50(2): 438-449 (2002) - [c34]William Fong, Simon J. Godsill:
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: An extension. EUSIPCO 2002: 1-4 - [c33]Manuel Davy, Simon J. Godsill:
Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation. ICASSP 2002: 1313-1316 - [c32]William Fong, Simon J. Godsill:
Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio. ICASSP 2002: 1605-1608 - [c31]Simon J. Godsill, Manuel Davy:
Bayesian harmonic models for musical pitch estimation and analysis. ICASSP 2002: 1769-1772 - [c30]Nicholas M. Haan, Simon J. Godsill:
Bayesian models for DNA sequencing. ICASSP 2002: 4020-4023 - [c29]Patrick J. Wolfe, Simon J. Godsill:
Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement. NIPS 2002: 1197-1204 - 2001
- [j4]Paul T. Troughton, Simon J. Godsill:
MCMC methods for restoration of nonlinearly distorted autoregressive signals. Signal Process. 81(1): 83-97 (2001) - [c28]Nicholas M. Haan, Simon J. Godsill:
Sequential methods for DNA sequencing. ICASSP 2001: 1045-1048 - [c27]Panagiotis Giannopoulos, Simon J. Godsill:
Estimation of CAR processes observed in noise using Bayesian inference. ICASSP 2001: 3133-3136 - [c26]William Fong, Simon J. Godsill:
Monte Carlo smoothing for non-linearly distorted signals. ICASSP 2001: 3997-4000 - [p1]Simon J. Godsill, Tim Clapp:
Improvement Strategies for Monte Carlo Particle Filters. Sequential Monte Carlo Methods in Practice 2001: 139-158 - 2000
- [j3]Arnaud Doucet, Simon J. Godsill, Christophe Andrieu:
On sequential Monte Carlo sampling methods for Bayesian filtering. Stat. Comput. 10(3): 197-208 (2000) - [c25]Arnaud Doucet, Simon J. Godsill, Mike West:
Monte Carlo filtering and smoothing with application to time-varying spectral estimation. ICASSP 2000: 701-704 - [c24]Patrick J. Wolfe, Simon J. Godsill:
Towards a perceptually optimal spectral amplitude estimator for audio signal enhancement. ICASSP 2000: 821-824 - [c23]Nicholas M. Haan, Simon J. Godsill:
Modelling electropherogram data for DNA sequencing using variable dimension MCMC. ICASSP 2000: 3542-3545 - [c22]Simon J. Godsill:
Inference in symmetric alpha-stable noise using MCMC and the slice sampler. ICASSP 2000: 3806-3809
1990 – 1999
- 1999
- [c21]Simon J. Godsill, Christophe Andrieu:
Bayesian separation and recovery of convolutively mixed autoregressive sources. ICASSP 1999: 1733-1736 - [c20]Christian P. Robert, Arnaud Doucet, Simon J. Godsill:
Marginal MAP estimation using Markov chain Monte Carlo. ICASSP 1999: 1753-1756 - [c19]Tim Clapp, Simon J. Godsill:
Fixed-lag blind equalization and sequence estimation in digital communications systems using sequential importance sampling. ICASSP 1999: 2495-2498 - [c18]Paul T. Troughton, Simon J. Godsill:
MCMC methods for restoration of quantised time series. NSIP 1999: 447-451 - 1998
- [j2]Simon J. Godsill, Peter J. W. Rayner:
Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler. IEEE Trans. Speech Audio Process. 6(4): 352-372 (1998) - [c17]Colin Campbell, Simon J. Godsill:
On a new stochastic version of the EM algorithm. EUSIPCO 1998: 1-4 - [c16]Paul T. Troughton, Simon J. Godsill:
MCMC methods for restoration of nonlinearly distorted autoregressive signals. EUSIPCO 1998: 1-4 - [c15]Paul J. Walmsley, Simon J. Godsill, Peter J. W. Rayner:
Multidimensional optimisation of harmonic signals. EUSIPCO 1998: 1-4 - [c14]Paul T. Troughton, Simon J. Godsill:
A reversible jump sampler for autoregressive time series. ICASSP 1998: 2257-2260 - [c13]Petar M. Djuric, Simon J. Godsill, William J. Fitzgerald, Peter J. W. Rayner:
Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations. ICASSP 1998: 2269-2272 - 1997
- [c12]Paul T. Troughton, Simon J. Godsill:
Bayesian model selection for time series using Markov chain Monte Carlo. ICASSP 1997: 3733-3736 - [c11]Simon J. Godsill:
Robust modelling of noisy ARMA signals. ICASSP 1997: 3797-3800 - [c10]Anil C. Kokaram, Simon J. Godsill:
Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data. ICIAP (2) 1997: 719-726 - [c9]Anil C. Kokaram, Simon J. Godsill:
Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data. ICIP (2) 1997: 191-194 - 1996
- [c8]Anil C. Kokaram, Simon J. Godsill:
A System for Reconstruction of Missing Data in Image Sequences Using Sampled 3D AR Models and MRF Motion Priors. ECCV (2) 1996: 613-624 - [c7]Simon J. Godsill, Anil C. Kokaram:
Joint interpolation, motion and parameter estimation for image sequences with missing data. EUSIPCO 1996: 1-4 - [c6]Simon J. Godsill, Peter J. W. Rayner:
Robust noise reduction for speech and audio signals. ICASSP 1996: 625-628 - [c5]Dominic C. B. Chan, Peter J. W. Rayner, Simon J. Godsill:
Multi-channel signal separation. ICASSP 1996: 649-652 - 1995
- [j1]Simon J. Godsill, Peter J. W. Rayner:
A Bayesian approach to the restoration of degraded audio signals. IEEE Trans. Speech Audio Process. 3(4): 267-278 (1995) - 1994
- [c4]Christopher M. Hicks, Simon J. Godsill:
A two-channel approach to the removal of impulsive noise from archived recordings. ICASSP (2) 1994: 213-216 - [c3]Simon J. Godsill:
Recursive restoration of pitch variation defects in musical recordings. ICASSP (2) 1994: 233-236 - 1993
- [c2]Simon J. Godsill, Peter J. W. Rayner:
Frequency-based interpolation of sampled signals with applications in audio restoration. ICASSP (1) 1993: 209-212 - 1992
- [c1]Simon J. Godsill, Peter J. W. Rayner:
A Bayesian approach to the detection and correction of error bursts in audio signals. ICASSP 1992: 261-264
Coauthor Index
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