• DocumentCode
    1929810
  • Title

    Modified Adaptive Chirplet Decomposition and Its efficient Implementation

  • Author

    Wang, Yong ; Jiang, Yicheng

  • Author_Institution
    Res. Inst. of Electron. Eng. Technol., Harbin Inst. of Technol.
  • Volume
    1
  • fYear
    2006
  • fDate
    16-20 2006
  • Abstract
    A new algorithm of signal decomposition-modified adaptive chirplet decomposition (MACD) is presented to overcome the deficiency of basis functions with linear time-frequency relations. The chirplet atom is extended to quadratic frequency modulated signal, and it can approach the nonlinear time varying components of the original signal. At the same time, a efficient algorithm is presented by computing the cubic phase (CP) function of the signal, it is shown that the CP function is concentrated along the instantaneous frequency rate law, and the peak of the CP function yields the estimates of the coefficients of quadratic and cubic phase, the time center and the amplitude. Then the initial frequency and the time extent can be obtained by the dechirp technique. The scheme of the algorithm is shown in this paper, and the results of echolocation signal from brown bat demonstrate the validity of the method proposed
  • Keywords
    decomposition; signal processing; time-frequency analysis; chirplet atom; cubic phase function; echolocation signal; linear time-frequency relations; modified adaptive chirplet decomposition; nonlinear time varying components; quadratic frequency signal modulation; signal decomposition; Chirp; Fourier transforms; Frequency domain analysis; Frequency estimation; Polynomials; Radar signal processing; Signal analysis; Signal processing; Signal processing algorithms; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2006 8th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9736-3
  • Electronic_ISBN
    0-7803-9736-3
  • Type

    conf

  • DOI
    10.1109/ICOSP.2006.344494
  • Filename
    4128830