Analysis and fast implementation of oversampled modulated filter banks

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

Abstract

Oversampled modulated filter banks (OSFBs) are popularly employed for a number of applications such as acoustic echo cancellation in order to reduce the processing complexity of a signal processing algorithm. Hence, an efficient implementation of OSFBs themselves is mandatory. In this paper, a polyphase description is used to remove redundancies in the filter operations and to factorize the OSFB into filter components depending on the prototype filter, and the modulating transform. Based on a state-space representation of this derived polyphase factorization, signal flow graphs can be obtained which permit a very simple and efficient OSFB implementation. The analysis is performed for a number of different classes of OSFBs, and a comparison to existing methods is drawn.
Original languageEnglish
Title of host publicationMathematics in signal processing V
EditorsJohn G. McWhirter, Ian K. Proudler
Place of PublicationOxford
Pages263-274
Number of pages12
Publication statusPublished - 1 Jul 2002
Event5th International Conference on Mathematics in Signal Processing - University of Warwick, United Kingdom
Duration: 18 Dec 200020 Dec 2000

Publication series

NameInstitute of Mathematics and ITS applications conference series
PublisherClarendon Press
Number71

Conference

Conference5th International Conference on Mathematics in Signal Processing
CountryUnited Kingdom
CityUniversity of Warwick
Period18/12/0020/12/00

Keywords

  • oversampled filter banks
  • filter banks
  • acoustic echo cancellation
  • fast implementation
  • analysis
  • oversampled
  • modulated filter banks

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  • Cite this

    Weiss, S. (2002). Analysis and fast implementation of oversampled modulated filter banks. In J. G. McWhirter, & I. K. Proudler (Eds.), Mathematics in signal processing V (pp. 263-274). (Institute of Mathematics and ITS applications conference series; No. 71). Oxford.