Optimal reduced-rank time-frequency/time-scale quadratic detectors

Akbar M. Sayeed, Douglas L Jones

Research output: Contribution to conferencePaperpeer-review

Abstract

Optimal detectors based on time-frequency/time-scale representations (TFRs/TSRs) admit a representation in terms of a bank of spectrograms/scalograms that yields a large class of detectors. These range from the conventional matched filter to the more complex higher-rank detectors offering a superior performance in a wider variety of detection situations. In this paper, we optimize this complexity versus performance tradeoff by characterizing TFR/TSR detectors that optimize performance (based on the deflection criterion) for any given fixed rank. We also characterize the gain in performance as a function of increasing complexity thereby facilitating a judicious tradeoff. Our experience with real data shows that, in many cases, relatively low-rank optimal detectors can provide most of the gain in performance relative to matched-filter processors.

Original languageEnglish (US)
Pages209-212
Number of pages4
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Paris, Fr
Duration: Jun 18 1996Jun 21 1996

Other

OtherProceedings of the 1996 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityParis, Fr
Period6/18/966/21/96

ASJC Scopus subject areas

  • Engineering(all)

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