• DocumentCode
    1211701
  • Title

    Performance analysis of the dual sign algorithm for additive contaminated-Gaussian noise

  • Author

    Bang, Seung Chan ; Ann, Souguil ; Song, Iickho

  • Author_Institution
    Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
  • Volume
    1
  • Issue
    12
  • fYear
    1994
  • Firstpage
    196
  • Lastpage
    198
  • Abstract
    In the previous analysis of the dual sign algorithm (DSA), Gaussian signals were assumed. When the desired response contains additive impulsive interference, however, the analysis seems to be inadequate. In this article, a performance analysis of the DSA is considered when the signals are zero-mean stationary Gaussian, and the additive noise of the desired response is zero-mean stationary contaminated-Gaussian (CG). Through computer simulations, our analysis is validated. It is also shown that the DSA is less vulnerable to impulsive interference than the least-mean square (LMS) algorithm.<>
  • Keywords
    Gaussian noise; adaptive signal processing; interference (signal); Gaussian signals; LMS algorithm; additive contaminated-Gaussian noise; additive impulsive interference; computer simulations; dual sign algorithm; least-mean square algorithm; performance analysis; stochastic gradient adaptive algorithm; zero-mean stationary Gaussian signals; zero-mean stationary contaminated-Gaussian noise; Additive noise; Character generation; Computer simulation; Convergence; Estimation error; Gaussian noise; Interference; Performance analysis; Signal analysis; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.338751
  • Filename
    338751