Simon Godsill

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Christophe AndrieuProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Patrick J. WolfeProfessor of Statistics, University College LondonVerified email at stat.harvard.edu
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
James MurphyResearch Associate, Signal Processing Group, Cambridge UniversityVerified email at cam.ac.uk
Francois SeptierProfessor, Universite Bretagne Sud / LMBA UMR CNRS 6205Verified email at univ-ubs.fr
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
Avishy CarmiBen-Gurion University of the NegevVerified email at bgu.ac.il
Cédric FévotteCNRS Research Director @ IRIT, ANITI, Univ. ToulouseVerified email at irit.fr
Pete BunchCambridge UniversityVerified email at cam.ac.uk
Manuel DAVYCEO at VekiaVerified email at vekia.fr
Simon MaskellUniversity of LiverpoolVerified email at liverpool.ac.uk
Mike WestDuke UniversityVerified email at nc.rr.com
Amadou GningHull UniversityVerified email at hull.ac.uk
Olivier CappéCNRSVerified email at cnrs.fr
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
Maurice FallonAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
Sumeetpal Sidhu SinghTibra Foundation Chair in Mathematical Sciences, School of Mathematics, University of WollongongVerified email at uow.edu.au
Daniel ClarkUniversity of SouthamptonVerified email at soton.ac.uk

Simon Godsill

University of Cambridge

Verified email at eng.cam.ac.uk


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On sequential Monte Carlo sampling methods for Bayesian filtering A Doucet, S Godsill, C Andrieu Statistics and computing 10, 197-208, 2000	6456	2000
An overview of existing methods and recent advances in sequential Monte Carlo O Cappé, SJ Godsill, E Moulines Proceedings of the IEEE 95 (5), 899-924, 2007	1343	2007
Monte Carlo smoothing for nonlinear time series SJ Godsill, A Doucet, M West Journal of the american statistical association 99 (465), 156-168, 2004	702	2004
Digital audio restoration S Godsill, P Rayner, O Cappé Applications of digital signal processing to audio and acoustics, 133-194, 2002	582	2002
Monte Carlo filtering for multi target tracking and data association J Vermaak, SJ Godsill, P Perez IEEE Transactions on Aerospace and Electronic systems 41 (1), 309-332, 2005	527	2005
On the relationship between Markov chain Monte Carlo methods for model uncertainty SJ Godsill Journal of computational and graphical statistics 10 (2), 230-248, 2001	346	2001
Poisson models for extended target and group tracking K Gilholm, S Godsill, S Maskell, D Salmond Signal and Data Processing of Small Targets 2005 5913, 230-241, 2005	344	2005
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking L Mihaylova, AY Carmi, F Septier, A Gning, SK Pang, S Godsill Digital Signal Processing 25, 1-16, 2014	230	2014
A Bayesian approach for blind separation of sparse sources C Fevotte, SJ Godsill IEEE Transactions on Audio, Speech, and Language Processing 14 (6), 2174-2188, 2006	222	2006
Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement PJ Wolfe, SJ Godsill EURASIP Journal on Advances in Signal Processing 2003, 1-9, 2003	212	2003
Particle methods for Bayesian modeling and enhancement of speech signals J Vermaak, C Andrieu, A Doucet, SJ Godsill IEEE Transactions on Speech and Audio Processing 10 (3), 173-185, 2002	210	2002
Improvement strategies for Monte Carlo particle filters S Godsill, T Clapp Sequential Monte Carlo methods in practice, 139-158, 2001	210	2001
Bayesian extensions to non-negative matrix factorisation for audio signal modelling T Virtanen, AT Cemgil, S Godsill 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	205	2008
Maximum a posteriori sequence estimation using Monte Carlo particle filters S Godsill, A Doucet, M West Annals of the Institute of Statistical Mathematics 53, 82-96, 2001	188	2001
Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation M Davy, S Godsill 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002	183	2002
Monte Carlo smoothing with application to audio signal enhancement W Fong, SJ Godsill, A Doucet, M West IEEE transactions on signal processing 50 (2), 438-449, 2002	181	2002
Auxiliary particle implementation of probability hypothesis density filter N Whiteley, S Singh, S Godsill IEEE Transactions on Aerospace and Electronic Systems 46 (3), 1437-1454, 2010	164	2010
Multiband image fusion based on spectral unmixing Q Wei, J Bioucas-Dias, N Dobigeon, JY Tourneret, M Chen, S Godsill IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7236-7249, 2016	152	2016
Bayesian variable selection and regularization for time–frequency surface estimation PJ Wolfe, SJ Godsill, WJ Ng Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2004	145	2004
Marginal maximum a posteriori estimation using Markov chain Monte Carlo A Doucet, SJ Godsill, CP Robert Statistics and Computing 12 (1), 77-84, 2002	139	2002

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