• DocumentCode
    284972
  • Title

    Real-time detection of transient signals using spline-wavelets

  • Author

    Cheung, A.C. ; Chui, C.K. ; Chan, A.K.

  • Author_Institution
    City Polytech. Inst. of Hong Kong, Hong Kong
  • Volume
    4
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    361
  • Abstract
    Compactly supported spline-wavelets are used to process simulated transient signals in a noisy environment. It is found that linear-phase spline-wavelets can be effectively used as near-optimal time-domain windows to localize the signal onsets. This technique does not require prior knowledge of the signal. Results are demonstrated numerically by the detection of signal arrivals in noise
  • Keywords
    signal detection; splines (mathematics); wavelet transforms; compactly-supported spline-wavelets; linear-phase spline-wavelets; near-optimal time-domain windows; noisy environment; real-time detection; signal arrivals; signal onset localisation; transient signals; Fourier transforms; Frequency; Signal analysis; Signal detection; Signal processing; Spline; Time domain analysis; Wavelet analysis; Wavelet transforms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226361
  • Filename
    226361