On implementation and design of filter banks for subband adaptive systems

S. Weiss, M. Harteneck, R.W. Stewart

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This paper introduces 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 highly efficient 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 under-pinned by simulation results.
Original languageEnglish
Number of pages8
Publication statusPublished - 20 Apr 1998
EventIEE Colloquium on Digital Filters: An Enabling Technology - London, United Kingdom
Duration: 20 Apr 199820 Apr 1998


ConferenceIEE Colloquium on Digital Filters
Country/TerritoryUnited Kingdom


  • adaptive filters
  • computational complexity
  • filtering theory
  • filter banks
  • implementation
  • design
  • subband adaptive system


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