• DocumentCode
    791874
  • Title

    Robust transient signal detection using the oversampled Gabor representation

  • Author

    Lee, Nigel ; Schwartz, Stuart C.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    43
  • Issue
    6
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    1498
  • Lastpage
    1502
  • Abstract
    The Gabor representation has been investigated previously as an effective and efficient means of detecting transient signals. The major problem associated with the most commonly used form of the Gabor representation is that it assumes that signals have integer arrival times and modulation frequencies-an assumption that, if violated, causes signal miss-match and deterioration in detector performance. The present correspondence presents the concept of oversampling the Gabor representation, which makes the representation more robust to certain types of signal mismatch. To show this, the performance of an oversampled Gabor detector is compared to that of critically sampled Gabor detectors. Gabor coefficients are calculated in the oversampled representation via the least squares method, which has been shown to be superior to the more commonly used biorthogonal function method in terms of corresponding detector performance
  • Keywords
    least squares approximations; signal detection; signal representation; signal sampling; transient analysis; detector performance; least squares method; miss-match; oversampled Gabor representation; robust transient signal detection; Biomedical signal processing; Detectors; Discrete Fourier transforms; Discrete wavelet transforms; Fourier transforms; Frequency modulation; Least squares methods; Robustness; Signal detection; Time frequency analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.388862
  • Filename
    388862