• DocumentCode
    285029
  • Title

    FSF (frequency sampling filter) bank for adaptive system identification

  • Author

    Kiya, Hitoshi ; Yamaguchi, Satoshi

  • Author_Institution
    Fac. of Technol., Tokyo Metropolitan Univ., Japan
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    261
  • Abstract
    Some researchers have explored the use of filter banks to improve the performance of adaptive algorithms. However, some of these approaches have shown degradation in performance. A new class of filter bank (ideal orthogonal filter bank) is defined, which enables one to avoid the degradation, even if one chooses critical subsampling in adaptive filtering. A filter bank (pseudo OFB) whose frequency response is the same as that of the ideal OFB at discrete frequency points is proposed. As a result, using the proposed filter bank, one can identify an unknown system at the discrete frequency points
  • Keywords
    adaptive filters; digital filters; filtering and prediction theory; identification; FSF bank; adaptive system identification; frequency sampling filter bank; ideal orthogonal filter bank; pseudo OFB; Adaptive filters; Adaptive systems; Cities and towns; Degradation; Filter bank; Frequency; Sampling methods; State feedback; System identification; Time invariant systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226436
  • Filename
    226436