• DocumentCode
    1564512
  • Title

    Parallel time-frequency analysis

  • Author

    Andrews, Angus

  • Author_Institution
    Rockwell Int., Thousand Oaks, CA, USA
  • fYear
    1989
  • Firstpage
    2234
  • Abstract
    Conventional time-frequency analysis methods are generally too computationally intensive for real-time implementation. A relatively new method based on a dynamic state-space model is inherently a real-time method and can be implemented in parallel processing. It has O(n) computational complexity per signal sample, where n is the number of frequencies in the analysis. Its offered concurrency allows only sublinear speedup with parallel digital implementations, but linear speedup with a partially analog implementation
  • Keywords
    computational complexity; computerised signal processing; parallel processing; real-time systems; state-space methods; computational complexity; dynamic state-space model; linear speedup; parallel digital implementations; parallel processing; parallel time frequency analysis; partially analog implementation; real-time method; signal sample; Computational complexity; Concurrent computing; Damping; Discrete Fourier transforms; Parallel processing; Signal analysis; Signal processing; Sonar; Speech; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
  • Conference_Location
    Glasgow
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1989.266909
  • Filename
    266909