• DocumentCode
    1385490
  • Title

    Improved transient signal detection using a wavepacket-based detector with an extended translation-invariant wavelet transform

  • Author

    Marco, Stephen Del ; Weiss, John

  • Author_Institution
    Aware Inc., Bedford, MA, USA
  • Volume
    45
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    841
  • Lastpage
    850
  • Abstract
    This paper presents the theory of M-band, extended translation-invariant (ETI) wavelet transforms. The ETI generalizes the translation-invariant wavelet transform of Weiss (1933). It is shown that iteration of the ETI, in a tree structure, provides a signal decomposition into an orthonormal wavepacket basis. Other properties such as translation invariance and invertibility of the transform are proven. The theory is then applied to transient signal detection through development of a family of translation-invariant wavepacket-based detectors. This family of detectors provides improved the performance over previously defined wavepacket-based detectors. A performance analysis is conducted. ROC curves generated by Monte-Carlo simulation are presented, indicating the detector performance. The detector performance is demonstrated to be independent of the signal translation
  • Keywords
    iterative methods; signal detection; transient analysis; tree data structures; wavelet transforms; M-band wavelet transform; Monte-Carlo simulation; ROC curves; detector performance; extended translation-invariant wavelet transform; iteration; orthonormal wavepacket basis; performance; performance analysis; signal decomposition; signal translation; transform invertibility; transient signal detection; translation invariance; translation invariant wavepacket based detectors; tree structure; Continuous wavelet transforms; Cost function; Detectors; Discrete wavelet transforms; Matched filters; Noise level; Signal detection; Statistics; Tree data structures; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.564173
  • Filename
    564173