• DocumentCode
    1287239
  • Title

    Spectral analysis of subband adaptive digital filters

  • Author

    Ohno, Shuichi ; Sakai, Hideaki

  • Author_Institution
    Dept. of Math. & Comput. Sci., Shimane Univ., Matsue, Japan
  • Volume
    48
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    254
  • Lastpage
    257
  • Abstract
    Subband adaptive digital filters at stationary points are analyzed in the frequency domain. Approximate expressions for the optimal subband filters are presented, and then, a spectral representation of the error variance is derived. These are expressed in the frequency domain and, hence, enable us to see the aliasing effects in subband adaptive filtering
  • Keywords
    adaptive filters; adaptive signal processing; circuit optimisation; digital filters; error analysis; filtering theory; frequency-domain analysis; least mean squares methods; signal representation; spectral analysis; LMS algorithm; aliasing effects; approximate expressions; error variance; frequency domain analysis; least mean-squared algorithm; optimal subband filters; spectral analysis; spectral representation; stationary points; subband adaptive digital filters; subband adaptive filtering; Adaptive filters; Adaptive systems; Additive noise; Convergence; Digital filters; Filter bank; Frequency domain analysis; Mathematics; Signal processing; Spectral analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.815497
  • Filename
    815497
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1287239