• DocumentCode
    1584443
  • Title

    Multi-component signal analysis using the polynomial transform

  • Author

    Peleg, Shimon ; Friedlander, Benjamin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • fYear
    1992
  • Firstpage
    751
  • Abstract
    An iterative algorithm for estimating the parameters of multiple superimposed polynomial phase signals is presented. The algorithm is based on the ability of the discrete polynomial transform (DPT) to estimate the parameters of a polynomial phase signal in the presence of other interfering signals. Once the parameters of one of the signals are estimated, it can be filtered out from the composite signal. The procedure is then applied to the remainder, which contains a small number of components. The DPT is applied to the analysis of the signal emitted by the big brown bat
  • Keywords
    polynomials; signal processing; transforms; big brown bat; composite signal; discrete polynomial transform; echo location; iterative algorithm; multicomponent signal analysis; parameter estimation; polynomial phase signals; Additive noise; Discrete transforms; Frequency estimation; Iterative algorithms; Noise robustness; Parameter estimation; Phase estimation; Polynomials; Signal analysis; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-3160-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.1992.269095
  • Filename
    269095