• DocumentCode
    1373652
  • Title

    An embedding approach to frequency-domain and subband adaptive filtering

  • Author

    Merched, Ricardo ; Sayed, Ali H.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • Volume
    48
  • Issue
    9
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    2607
  • Lastpage
    2619
  • Abstract
    Frequency-domain and subband implementations improve the computational efficiency and the convergence rate of adaptive schemes. The well-known multidelay adaptive filter (MDF) belongs to this class of block adaptive structures and is a DFT-based algorithm. We develop adaptive structures that are based on the trigonometric transforms, discrete cosine transform (DCT) and discrete sine transform (DST), and on the discrete Hartley transform (DHT). As a result, these structures involve only real arithmetic and are attractive alternatives in cases where the traditional DFT-based scheme exhibits poor performance. The filters are derived by first presenting a derivation for the classical DFT based filter that allows us to pursue these extensions immediately. The approach used in this paper also provides further insights into subband adaptive filtering
  • Keywords
    adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; discrete Fourier transforms; discrete Hartley transforms; discrete cosine transforms; filtering theory; frequency-domain analysis; DCT; DFT based filter; DFT-based algorithm; DHT; DST; adaptive structures; block adaptive structures; computational complexity; computational efficiency; discrete Hartley transform; embedding approach; frequency-domain filtering; matrix; multidelay adaptive filter; real arithmetic; subband adaptive filtering; subband implementation; trigonometric transforms; Adaptive filters; Arithmetic; Computational efficiency; Convergence; Discrete cosine transforms; Discrete transforms; Echo cancellers; Frequency domain analysis; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.863066
  • Filename
    863066