A new adaptive wavelet transform using lifting scheme

Zhi Zhong Han, Zhen Bao Liu, Ya Sen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a new adaptive wavelet transform using lifting scheme. The algorithm proposed uses interpolating method to construct a predict/update type lifting scheme based on the optimal criteria. The two-step lifting scheme is adaptively match the property of local signal at each scale. The novel framework introduced chooses the most suitable predictor and updater respectively, which differs from other adaptive methods making only one step adaptive. Numerical experiments show that the proposed transform is efficient and demonstrate the potential utility of the new adaptive wavelet transform.

Original languageEnglish
Title of host publicationProceedings of 2011 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2011
Pages224-229
Number of pages6
DOIs
StatePublished - 2011
Event2011 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2011 - Guilin, Guangxi, China
Duration: 10 Jul 201113 Jul 2011

Publication series

NameInternational Conference on Wavelet Analysis and Pattern Recognition
ISSN (Print)2158-5695
ISSN (Electronic)2158-5709

Conference

Conference2011 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2011
Country/TerritoryChina
CityGuilin, Guangxi
Period10/07/1113/07/11

Keywords

  • Adaptive signal processing
  • Lifting scheme
  • Signal denoising
  • Wavelet transform

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