On implementation and design of filter banks for subband adaptive systems

Stephan Weiss, Moritz Harteneck, Robert Stewart

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

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Abstract

We introduce a polyphase implementation and design of an oversampled K-channel generalized DFT (GDFT) filter bank, which can be employed for subband adaptive filtering, and therefore is required to have a low aliasing level in the subband signals. A polyphase structure is derived which can be factorized into a real-valued polyphase network and a GDFT modulation. For the latter, an FFT realization may be used, yielding a very inexpensive polyphase implementation for arbitrary integer decimation ratios N les;K. We also present an analysis underlining the efficiency of complex-valued subband processing. The design of the filter bank is completely based on the prototype filter and solved using a fast converging iterative least squares method, for which we give examples, The design specifications closely correspond with performance limits of subband adaptive filtering, which are underpinned by simulation results.
Original languageEnglish
Title of host publication1998 IEEE workshop on signal processing systems - SIPS 98
Subtitle of host publicationdesign and implementaion
EditorsE.S. Manolakos, A. Chandrakasan, L.G. Chen, W.P. Burleson, K. Konstantinides
Place of PublicationNew York
PublisherIEEE
Pages172-181
Number of pages10
ISBN (Print)0780349970
DOIs
Publication statusPublished - 1998
EventIEEE Workshop on Signal Processing Systems - Boston, MA, United States
Duration: 8 Oct 199810 Oct 1998

Conference

ConferenceIEEE Workshop on Signal Processing Systems
CountryUnited States
CityBoston, MA
Period8/10/9810/10/98

Keywords

  • adaptive filters
  • adaptive systems
  • filter bank
  • process design
  • signal processing
  • implementation
  • design
  • filter banks
  • subband adaptive systems

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