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Details of Grant 

EPSRC Reference: GR/N00951/01
Title: DYNAMIC SEQUENTIAL SIMULATION METHODOLOGY WITH APPLICATION TO AUDIO, SPEECH AND COMMUNICATIONS
Principal Investigator: FitzGerald, Professor W
Other Investigators:
Niranjan, Professor M Godsill, Professor S
Researcher Co-Investigators:
Project Partners:
Cedar Audio Ltd Defence Science and Technology Laborator Duke University
Pre Nexus Migration
Department: Engineering
Organisation: University of Cambridge
Scheme: Standard Research (Pre-FEC)
Starts: 01 July 1999 Ends: 30 June 2002 Value (£): 172,954
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Communications No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
The central project focus is sequential statistical analysis of dynamic models arising in various signal processing applicatins. We will develop concepts and new methods for sequential updating/revision of posterior and predictive conferences using stochastic simulation methods. Our motivations lie in the needs for fast and accurate methods of sequential data processing and analysis in areas including speech processing and mobile communications. Realistsic dynamic models involve complex, Time-varying parameter stochastic structures often with non-linear and non-gaussian components, and are typically not amenable to analysis without resort to numerical approximations. The gold standard for numerical approximati in bayesian analysis is via methods of stochastic simulation, including importance sampling, iterative methods Markov chain Monte Carlo, Or MCMC), and adaptive variants. the application of such methods to batch processing in dynamic models is quite well-developed, but their extension and development in sequential contexts is a relatively new and open area posing very significant research challenges.
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Organisation Website: http://www.cam.ac.uk