• DocumentCode
    1371758
  • Title

    Proportionate normalized least-mean-squares adaptation in echo cancelers

  • Author

    Duttweiler, Donald L.

  • Author_Institution
    Lucent Technol. Bell Labs., Holmdel, NJ, USA
  • Volume
    8
  • Issue
    5
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    508
  • Lastpage
    518
  • Abstract
    On typical echo paths, the proportionate normalized least-mean-squares (PNLMS) adaptation algorithm converges significantly faster than the normalized least-mean-squares (NLMS) algorithm generally used in echo cancelers to date. In PNLMS adaptation, the adaptation gain at each tap position varies from position to position and is roughly proportional at each tap position to the absolute value of the current tap weight estimate. The total adaptation gain being distributed over the taps is carefully monitored and controlled so as to hold the adaptation quality (misadjustment noise) constant. PNLMS adaptation only entails a modest increase in computational complexity
  • Keywords
    adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; NLMS; PNLMS adaptation algorithm; adaptation gain; adaptation quality; adaptive filter; algorithm convergence; computational complexity; customer loop; echo cancelers; echo paths; misadjustment noise; normalized least-mean-squares; proportionate normalized least-mean-squares adaptation; tap position; tap weight estimate; two-wire transmission; Computational complexity; Delay; Equations; Filters; Helium; Impedance; Monitoring; Network synthesis; Noise cancellation; Speech;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.861368
  • Filename
    861368