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Sequential Bayesian wavelet denoising

Abstract:

We propose a wavelet model that incorporates coefficient correlation and is expressed in state-space form, allowing the development and application of sequential estimation algorithms for wavelet denoising. We detail a sequential simulation-based estimation algorithm based on particle filters. This algorithm allows Bayesian wavelet denoising to be performed on-line, enabling it to process a vast dataset, and it is intrinsically parallelizable. The experiments indicate that the algorithm perfo...

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Publisher copy:
10.1109/ISSPA.1999.815743

Authors


Publisher:
IEEE Computer Society
Volume:
2
Pages:
595-598
Publication date:
1999-01-01
DOI:
URN:
uuid:387d4484-b08c-4ed0-a164-a98198819cd7
Source identifiers:
478435
Local pid:
pubs:478435
ISBN-10:
1864354518
ISBN-13:
9781864354515

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