A non-expansive convolution for nonlinear-phase paraunitary filter banks and its application to image coding

Yuichi Tanaka, Akihiro Ochi, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper proposes a new non-expansive convolution for nonlinear-phase paraunitary filter banks (NLPPUFBs). First, we present that any NLPPUFBs can be implemented by connecting several block transforms. Next, we show a signal extension method at the analysis bank by exploiting the characteristics of that structure. Furthermore, we prove that the signal can be reconstructed at the synthesis bank without any redundant signals. Finally, we apply the proposed extension to image coding to validate our method.

Original languageEnglish
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages54-58
Number of pages5
Publication statusPublished - 2005 Dec 1
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: 2005 Oct 282005 Nov 1

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005
ISSN (Print)1058-6393

Other

Other39th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period05/10/2805/11/1

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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