Simon J. Godsill

Pete Bunch, Simon J. Godsill: Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo. IEEE Transactions on Signal Processing 61(4): 956-963 (2013)

Pete Bunch, Simon J. Godsill: Particle Smoothing Algorithms for Variable Rate Models. IEEE Transactions on Signal Processing 61(7): 1663-1675 (2013)

Avishy Carmi, François Septier, Simon J. Godsill: The Gaussian mixture MCMC particle algorithm for dynamic cluster tracking. Automatica 48(10): 2454-2467 (2012)

Hugh L. Christensen, James Murphy, Simon J. Godsill: Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics. J. Sel. Topics Signal Processing 6(4): 366-380 (2012)

Maurice F. Fallon, Simon J. Godsill: Acoustic Source Localization and Tracking of a Time-Varying Number of Speakers. IEEE Transactions on Audio, Speech & Language Processing 20(4): 1409-1415 (2012)

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

Paul H. Peeling, Simon J. Godsill: Multiple Pitch Estimation Using Non-Homogeneous Poisson Processes. J. Sel. Topics Signal Processing 5(6): 1133-1143 (2011)

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 Transactions on Audio, Speech & Language Processing 19(7): 1986-1998 (2011)

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 Transactions on Signal Processing 59(4): 1383-1396 (2011)

Pedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill: Reinforcement Learning and the Bayesian Control Rule. AGI 2011: 281-285

James Murphy, Simon J. Godsill: Joint Bayesian removal of impulse and background noise. ICASSP 2011: 261-264

Tatjana Lemke, Simon J. Godsill: Enhanced Poisson sum representation for alpha-stable processes. ICASSP 2011: 4100-4103

Pete Bunch, Simon J. Godsill: Point process MCMC for sequential music transcription. ICASSP 2011: 5936-5939

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

Jens E. N. Christensen, Simon J. Godsill: Bayesian classification of acoustical waveforms under environmental variability. WASPAA 2011: 281-284

Simon J. Godsill: The shifted inverse-gamma model for noise-floor estimation in archived audio recordings. Signal Processing 90(4): 991-999 (2010)

Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill: Generative Spectrogram Factorization Models for Polyphonic Piano Transcription. IEEE Transactions on Audio, Speech & Language Processing 18(3): 519-527 (2010)

Maurice F. Fallon, Simon J. Godsill: Acoustic Source Localization and Tracking Using Track Before Detect. IEEE Transactions on Audio, Speech & Language Processing 18(6): 1228-1242 (2010)

Pete Bunch, Simon J. Godsill: Transcription of Musical Audio Using Poisson Point Processes and Sequential MCMC. CMMR 2010: 76-83

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. Sig. Proc. 2009 (2009)

Nedeljko Cvejic, Tapio Seppänen, Simon J. Godsill: A Nonreference Image Fusion Metric Based on the Regional Importance Measure. J. Sel. Topics Signal Processing 3(2): 212-221 (2009)

Cédric Févotte, Bruno Torrésani, Laurent Daudet, Simon J. Godsill: Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio. IEEE Transactions on Audio, Speech & Language Processing 16(1): 174-185 (2008)

Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsill: Bayesian extensions to non-negative matrix factorisation for audio signal modelling. ICASSP 2008: 1825-1828

Han Lin, Simon J. Godsill: Multi-channel bayesian background noise suppression using perceptual cost functions. ICASSP 2008: 3429-3432

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)

Ali Taylan Cemgil, Cédric Févotte, Simon J. Godsill: Variational and stochastic inference for Bayesian source separation. Digital Signal Processing 17(5): 891-913 (2007)

Ji Won Yoon, Simon J. Godsill, ChulHun Kang, Tae-Seong Kim: Bayesian Inference for 2D Gel Electrophoresis Image Analysis. BIRD 2007: 343-356

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

Paul H. Peeling, Ali Taylan Cemgil, Simon J. Godsill: A Probabilistic Framework for Matching Music Representations. ISMIR 2007: 267-272

Cédric Févotte, Simon J. Godsill: A Bayesian Approach for Blind Separation of Sparse Sources. IEEE Transactions on Audio, Speech & Language Processing 14(6): 2174-2188 (2006)

Marco J. Lombardi, Simon J. Godsill: On-line Bayesian estimation of signals in symmetric /spl alpha/-stable noise. IEEE Transactions on Signal Processing 54(2): 775-779 (2006)

Cédric Févotte, Simon J. Godsill: Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm. ICA 2006: 593-600

Nick Whiteley, Ali Taylan Cemgil, Simon J. Godsill: Bayesian Modelling of Temporal Structure in Musical Audio. ISMIR 2006: 29-34

Petar M. Djuric, Simon J. Godsill, Arnaud Doucet: Editorial. EURASIP J. Adv. Sig. Proc. 2004(15): 2239-2241 (2004)

Cédric Févotte, Simon J. Godsill, Patrick J. Wolfe: Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources. ICA 2004: 398-405

Patrick J. Wolfe, Simon J. Godsill: Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement. EURASIP J. Adv. Sig. Proc. 2003(10): 1043-1051 (2003)

Jaco Vermaak, Simon J. Godsill, Arnaud Doucet: Sequential Bayesian Kernel Regression. NIPS 2003

Arnaud Doucet, Simon J. Godsill, Christian P. Robert: Marginal maximum a posteriori estimation using Markov chain Monte Carlo. Statistics and Computing 12(1): 77-84 (2002)

Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, Simon J. Godsill: Particle methods for Bayesian modeling and enhancement of speech signals. IEEE Transactions on Speech and Audio Processing 10(3): 173-185 (2002)

Petar M. Djuric, Simon J. Godsill: Guest editorial special issue on monte carlo methods for statistical signal processing. IEEE Transactions on Signal Processing 50(2): 173 (2002)

Anil C. Kokaram, Simon J. Godsill: MCMC for joint noise reduction and missing data treatment in degraded video. IEEE Transactions on Signal Processing 50(2): 189-205 (2002)

William Fong, Simon J. Godsill, Arnaud Doucet, Mike West: Monte Carlo smoothing with application to audio signal enhancement. IEEE Transactions on Signal Processing 50(2): 438-449 (2002)

Manuel Davy, Simon J. Godsill: Detection of abrupt spectral changes using support vector machines an application to audio signal segmentation. ICASSP 2002: 1313-1316

William Fong, Simon J. Godsill: Sequential Monte Carlo simulation of dynamical models with slowly varying parameters: Application to audio. ICASSP 2002: 1605-1608

Simon J. Godsill, Manuel Davy: Bayesian harmonic models for musical pitch estimation and analysis. ICASSP 2002: 1769-1772

Nicholas M. Haan, Simon J. Godsill: Bayesian models for DNA sequencing. ICASSP 2002: 4020-4023

Patrick J. Wolfe, Simon J. Godsill: Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement. NIPS 2002: 1197-1204

Paul T. Troughton, Simon J. Godsill: MCMC methods for restoration of nonlinearly distorted autoregressive signals. Signal Processing 81(1): 83-97 (2001)

Paul T. Troughton, Simon J. Godsill: MCMC methods for restoration of quantised time series. NSIP 1999: 447-451

Simon J. Godsill, Peter J. W. Rayner: Statistical reconstruction and analysis of autoregressive signals in impulsive noise using the Gibbs sampler. IEEE Transactions on Speech and Audio Processing 6(4): 352-372 (1998)

Anil C. Kokaram, Simon J. Godsill: Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data. ICIAP (2) 1997: 719-726

Anil C. Kokaram, Simon J. Godsill: Joint Detection, Interpolation, Motion and Parameter Estimation forImage Sequences with Missing Data. ICIP (2) 1997: 191-194

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

Simon J. Godsill, Peter J. W. Rayner: A Bayesian approach to the restoration of degraded audio signals. IEEE Transactions on Speech and Audio Processing 3(4): 267-278 (1995)