• DocumentCode
    285034
  • Title

    A novel orthogonal set adaptive line enhancer tuned with fourth-order cumulants

  • Author

    Constantinides, A.G. ; Knill, K.M. ; Chambers, J.A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    241
  • Abstract
    A novel adaptive line enhancer (ALE) structure is introduced. The adaptive filter has an autoregressive moving average (ARMA) structure which is based on classical Laguerre orthogonal functions. The frequencies and radii of the poles within the orthogonal set admit tuning. Tuning of these terms involves the use of higher-order statistics. Indeed the properties of fourth-order cumulants are exploited to aid harmonic retrieval of the sinusoids embedded in the input signal. Furthermore, adaptation of the feedforward filter parameters is straightforward since they are linearly related to the filter output. Advantages of stability, short filter length, and robustness in the presence of noise are expected. Simulation results are included to show typical performance
  • Keywords
    adaptive filters; filtering and prediction theory; harmonic analysis; statistical analysis; tuning; ARMA structure; IIR structure; adaptive filter; classical Laguerre orthogonal functions; feedforward filter parameters; fourth-order cumulants; harmonic retrieval; higher-order statistics; orthogonal block ALE; orthogonal set adaptive line enhancer; sinusoids; tuning; Adaptive filters; Adaptive signal processing; Biomedical signal processing; Finite impulse response filter; IIR filters; Least squares methods; Line enhancers; Robust stability; Signal to noise ratio; Tuning;
  • 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.1992.226441
  • Filename
    226441