Simon Godsill

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	All	Since 2016
Citations	17334	4910
h-index	50	29
i10-index	187	76

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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 CemgilResearcher, DeepMind UK, Prof. (on leave) from Bogazici University, Istanbul, TurkeyVerified email at boun.edu.tr
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
Avishy CarmiBen-Gurion University of the NegevVerified email at bgu.ac.il
Lyudmila MihaylovaProfessor of Signal Processing and Control, University of Sheffield, UKVerified email at sheffield.ac.uk
Cédric FévotteCNRS Research Director @ IRIT, ANITI, Univ. ToulouseVerified email at irit.fr
Pete BunchCambridge UniversityVerified email at cam.ac.uk
Mike WestDuke UniversityVerified email at nc.rr.com
Manuel DAVYCEO at VekiaVerified email at vekia.fr
Simon MaskellUniversity of LiverpoolVerified email at liverpool.ac.uk
Amadou GningHull UniversityVerified email at hull.ac.uk
Olivier CappéCNRSVerified email at cnrs.fr
Lee SkrypchukJaguar Land RoverVerified email at jaguarlandrover.com
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Sumeetpal Sidhu SinghReader in Engineering Statistics, Department of Engineering, Cambridge UniversityVerified email at cam.ac.uk
Maurice FallonSenior Research Fellow, University of OxfordVerified email at robots.ox.ac.uk
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi

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 (3), 197-208, 2000	5773	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	1174	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	587	2004
Digital audio restoration S Godsill, P Rayner, O Cappé Applications of digital signal processing to audio and acoustics, 133-194, 2002	520	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	488	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	295	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, 59130R, 2005	277	2005
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	204	2006
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	204	2002
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 (10), 910167, 2003	189	2003
Improvement strategies for Monte Carlo particle filters S Godsill, T Clapp Sequential Monte Carlo methods in practice, 139-158, 2001	189	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	178	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 (1), 82-96, 2001	170	2001
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	166	2014
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	165	2002
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	157	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	149	2010
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	136	2004
Bayesian harmonic models for musical signal analysis M Davy, SJ Godsill Bayesian Statistics 7, 105-124, 2003	132	2003
Bayesian analysis of polyphonic western tonal music M Davy, S Godsill, J Idier The Journal of the Acoustical Society of America 119 (4), 2498-2517, 2006	122	2006

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