• DocumentCode
    285035
  • Title

    Interference cancellation system based on the LMS algorithm

  • Author

    Campos, Patricia Fernandes

  • Author_Institution
    At&T Network Syst. Nederland B.V., Hilversum, Netherlands
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    237
  • Abstract
    Interference cancellation, which is concerned with the removal of such extraneous information as periodic interference signals superposed on audio frequency signals, is addressed. Low-frequency (audio range) processed signals often suffer from disturbance by interference. The quality of these signals would be greatly improved if this interference, for example, clock hum-interference, could be removed from the signal. Adaptive filtering techniques which are able to lock-in on the frequency of the interference and to track its changes are required. In order to achieve this, a reference signal should be available which is strongly correlated with the interference only. To this purpose, the least-mean-square (LMS) algorithm implemented according to White (1975) and Feintuch (1976) is considered
  • Keywords
    adaptive filters; audio signals; digital filters; filtering and prediction theory; interference suppression; least squares approximations; switched capacitor filters; LMS algorithm; adaptive filtering; audio frequency signals; clock hum-interference; interference cancellation system; recursive filters; switched capacitor implementation; transversal filters; Adaptive filters; Band pass filters; Decorrelation; Delay; Frequency; Interference cancellation; Interference elimination; Least squares approximation; Noise cancellation; Transversal filters;
  • 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.1992.226442
  • Filename
    226442