• DocumentCode
    1652351
  • Title

    Derivative analysis of complex polynomial amplitude, complex exponential with exponential damping

  • Author

    Musevic, Saso ; Bonada, Jordi

  • Author_Institution
    Music Technol. Group, Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2013
  • Firstpage
    488
  • Lastpage
    492
  • Abstract
    In the context of non-stationary sinusoidal analysis two main sinusoidal models prevail: a polynomial phase/polynomial exponential amplitude (generalised sinusoid) and polynomial amplitude complex exponential (PACE) model. Recent advances resulted in efficient, robust and accurate parameter estimation algorithms for the generalised sinusoid model whereas the high-resolutionmethod (HRM) for PACE model, suffers from high computational complexity. An efficient analysis method for high-degree complex PACE with exponential damping model is presented. Such model better describes sinusoids with sudden drop/increase of amplitude to/from zero, essentially forcing log-amplitude to negative infinity, rendering the generalised sinusoid model analysis unstable. Accuracy and computational efficiency of proposed method are compared to the HRM.
  • Keywords
    computational complexity; damping; parameter estimation; HRM; PACE model; complex polynomial amplitude; computational complexity; computational efficiency; derivative analysis; exponential damping model; generalised sinusoid model; high resolution method; log-amplitude; negative infinity; nonstationary sinusoidal analysis; parameter estimation algorithms; polynomial amplitude complex exponential model; polynomial exponential amplitude; polynomial phase; sinusoid model analysis; sinusoidal models; Analytical models; Computational modeling; Damping; Estimation; Frequency modulation; Polynomials; Speech; Exponential SinusoidalModel; Polynomial Amplitude Complex Exponential; Polynomial Phase; Polynomial amplitude; Sinusoidal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637695
  • Filename
    6637695