On optimal multiwavelet shrinkage

Tai Chiu Hsung, Pak Kong Lun, K. C. Ho

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Recent studies show that multiwavelet approaches give consistently better performance over traditional wavelet approaches in application such as denoising. It is because multiwavelet transform, with appropriate initialization, provides better representation of signals so that their difference from noise can be clearly identified. Traditional multiwavelet denoising only considers multiwavelets of multiplicity 2. In this paper, we first suggest a simple 2nd order orthogonal prefilter design method for multiwavelets of higher multiplicity. Then, we study how to select optimal threshold for each resolution level. Simulation results show that higher multiplicity wavelets usually give better denoising results and the proposed threshold estimator suggests good indication for optimal thresholds.
Original languageEnglish
Title of host publication2004 7th International Conference on Signal Processing Proceedings, ICSP
Pages728-731
Number of pages4
Publication statusPublished - 27 Dec 2004
Event2004 7th International Conference on Signal Processing Proceedings, ICSP - Beijing, China
Duration: 31 Aug 20044 Sep 2004

Conference

Conference2004 7th International Conference on Signal Processing Proceedings, ICSP
Country/TerritoryChina
CityBeijing
Period31/08/044/09/04

ASJC Scopus subject areas

  • Engineering(all)

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