- SEQUENTIAL METHODS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill
- VARIABLE RATE PARTICLE FILTERS FOR TRACKING APPLICATIONS Simon Godsill and Jaco Vermaak
- SEQUENTIAL MONTE CARLO SIMULATION OF DYNAMICAL MODELS WITH SLOWLY VARYING PARAMETERS: APPLICATION TO AUDIO
- MODELS AND ALGORITHMS FOR TRACKING USING VARIABLE DIMENSION PARTICLE FILTERS
- Marginal Maximum A Posteriori Estimation using Markov Chain Monte Carlo
- INTERPOLATION OF MISSING DATA VALUES FOR AUDIO SIGNAL RESTORATION USING A GABOR REGRESSION MODEL
- A Sequential Monte Carlo Framework for Extended Object Tracking
- Monte Carlo Filtering for Multi-Target Tracking and Data Association
- A TIME-VARYING MODEL FOR DNA SEQUENCING DATA SUBMERGED IN CORRELATED NOISE
- RADIAL BASIS FUNCTION REGRESSION USING TRANS-DIMENSIONAL SEQUENTIAL MONTE CARLO
- DETECTION OF ABRUPT SPECTRAL CHANGES USING SUPPORT VECTOR MACHINES AN APPLICATION TO AUDIO SIGNAL SEGMENTATION
- 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics October 16-19, 2005, New Paltz, NY BAYESIAN COMPUTATIONAL MODELS FOR INHARMONICITY IN
- Efficient Alternatives to the Ephraim and Malah Suppression Rule for Audio Signal Enhancement
- 2004 Royal Statistical Society 13697412/04/66575 J. R. Statist. Soc. B (2004)
- MODELLING ELECTROPHEROGRAM DATA FOR DNA SEQUENCING USING VARIABLE DIMENSION MCMC
- MCMC methods for restoration of nonlinearly distorted autoregressive signals
- ROBUST TREATMENT OF IMPULSIVE NOISE IN SPEECH AND AUDIO SIGNALS
- BAYESIAN HARMONIC MODELS FOR MUSICAL PITCH ESTIMATION AND ANALYSIS
- MULTIPLE AND EXTENDED OBJECT TRACKING WITH POISSON SPATIAL PROCESSES AND VARIABLE RATE FILTERS
- Perceptually Motivated Approaches to Music Restoration Patrick J. Wolfe and Simon J. Godsill
- INFERENCE IN SYMMETRIC ALPHASTABLE NOISE USING MCMC AND THE SLICE SAMPLER
- Bayesian Enhancement of Speech and Audio Signals which can be
- MCMC METHODS FOR RESTORATION OF QUANTISED TIME SERIES Paul T. Troughton and Simon J. Godsill
- Maximum a posteriori sequence estimation using Monte Carlo particle filters
- Improvement Strategies for Monte Carlo Particle Filters
- Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet
- A Bayesian Approach to Parameter Estimation and Interpolation of TimeVarying Autoregressive
- MARGINAL MAP ESTIMATION USING MARKOV CHAIN MONTE CARLO Christian P. Robert
- Monte Carlo smoothing for nonlinear time series
- Realpartofpole -0.03 -0.02 -0.01 0
- MONTE CARLO FILTERING AND SMOOTHING WITH APPLICATION TO TIMEVARYING SPECTRAL ESTIMATION
- Digital Audio Restoration Simon Godsill and Peter Rayner
- Poisson models for extended target and group tracking Kevin Gilholma, Simon Godsillb, Simon Maskellc and David Salmonda
- BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill
- Monte Carlo Smoothing with Application to Audio Signal Enhancement
- BAYESIAN SEPARATION AND RECOVERY OF CONVOLUTIVELY MIXED AUTOREGRESSIVE SOURCES
- Bayesian Methods in Signal and Image Processing W. J. FITZGERALD, S. J. GODSILL,
- Bayesian inference for time series with heavytailed symmetric #stable noise processes
- On the Relationship Between Markov Chain Monte Carlo Methods for Model Uncertainty
- MULTIGABOR DICTIONARIES FOR AUDIO TIMEFREQUENCY ANALYSIS Patrick J. Wolfe, Simon J. Godsill
- Poisson point process modeling for polyphonic music transcription
