Signal estimation using adapted tree-structured bases and the MDL principle

Research output: Contribution to conferencePaper

Abstract

We present a new signal denoising technique based on adapted tree-structured bases and the following paradigms: (a) use of the MDL principle for estimating the signal in each branch of the tree and the best tree structure; (b) use of signal-adapted filter banks.

Original languageEnglish (US)
Pages141-143
Number of pages3
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Paris, Fr
Duration: Jun 18 1996Jun 21 1996

Other

OtherProceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityParis, Fr
Period6/18/966/21/96

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Signal denoising
Filter banks

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Moulin, P. (1996). Signal estimation using adapted tree-structured bases and the MDL principle. 141-143. Paper presented at Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, .

Signal estimation using adapted tree-structured bases and the MDL principle. / Moulin, Pierre.

1996. 141-143 Paper presented at Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, .

Research output: Contribution to conferencePaper

Moulin, P 1996, 'Signal estimation using adapted tree-structured bases and the MDL principle' Paper presented at Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, 6/18/96 - 6/21/96, pp. 141-143.
Moulin P. Signal estimation using adapted tree-structured bases and the MDL principle. 1996. Paper presented at Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, .
Moulin, Pierre. / Signal estimation using adapted tree-structured bases and the MDL principle. Paper presented at Proceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Paris, Fr, .3 p.
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