A novel prefilter design for higher multiplicity discrete multiwavelet transforms

Tai Chiu Hsung, Pak Kong Lun

Research output: Journal article publicationConference articleAcademic researchpeer-review


Recent studies show that multiwavelet methods give consistently better performance over traditional methods, such as denoising. It is because multiwavelet gives better representation by using more than one scaling and wavelet functions which have shorter support while keeping desired properties such as orthogonality and symmetry. However, there are still many burden in applying discrete multiwavelet transforms to scalar signals, especially the prefilter design for higher multiplicity (>2). In this paper, we first suggest a simple and direct prefilter design method for any multiplicity. The resulted prefilter is orthogonal and possess second order approximation power. Then, we investigate the performance of higher multiplicity wavelet with the proposed prefilter on the application of denoising. Simulation results show that the higher multiplicity wavelets usually give better denoising results.
Original languageEnglish
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 7 Sep 2004
Event2004 IEEE International Symposium on Circuits and Systems - Proceedings - Vancouver, BC, Canada
Duration: 23 May 200426 May 2004

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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