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


Recent studies show that multiwavelet approaches give consistently better performance over traditional wavelet approaches in application such as demising. It is because maltiwavelet 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 2 nd 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 publicationInternational Conference on Signal Processing Proceedings, ICSP
Number of pages4
Publication statusPublished - 17 Nov 2004
Event2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China
Duration: 31 Aug 20044 Sept 2004


Conference2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

ASJC Scopus subject areas

  • Signal Processing


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