Optimal Reduced Rank Time-Frequency/Time Scale Quadratic Detectors

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE-SP International Symposium on Time-frequency and Time-scale Analysisen_US
dc.contributor.authorSayeed, Akbar M.en_US
dc.contributor.authorJones, Douglas L.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:04:13Zen_US
dc.date.available2007-10-31T01:04:13Zen_US
dc.date.issued1996-01-20en_US
dc.date.modified2004-01-22en_US
dc.date.note2004-01-09en_US
dc.date.submitted1996-01-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractOptimal 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.en_US
dc.identifier.citationA. M. Sayeed and D. L. Jones, "Optimal Reduced Rank Time-Frequency/Time Scale Quadratic Detectors," 1996.en_US
dc.identifier.urihttps://hdl.handle.net/1911/20330en_US
dc.language.isoengen_US
dc.subjectdeflection criterionen_US
dc.subjectoptimal detectorsen_US
dc.subject.keyworddeflection criterionen_US
dc.subject.keywordoptimal detectorsen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleOptimal Reduced Rank Time-Frequency/Time Scale Quadratic Detectorsen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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