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dc.contributor.authorJones, Douglas L.
Sayeed, Akbar M.
dc.creatorJones, Douglas L.
Sayeed, Akbar M. 2007-10-31T00:48:18Z 2007-10-31T00:48:18Z 1995-01-20 1995-01-20
dc.identifier.citation D. L. Jones and A. M. Sayeed, "Blind Quadratic and Time Frequency Based Detectors from Training Data," 1995.
dc.description Conference paper
dc.description.abstract Time-frequency based methods, particularly quadratic (Cohen's-class) representations, are often considered for detection in applications ranging from sonar to machine monitoring. We propose a method of obtaining near-optimal quadratic detectors directly from training data using Fisher's optimal linear discriminant to design a quadratic detector. This detector is optimal in terms of Fisher's scatter criterion as applied to the quadratic outer product of the data vector, and in early simulations appears to closely approximate the true optimal quadratic detector. By relating this quadratic detector to an equivalent operation on the Wigner distribution of a signal, we derive near-optimal time-frequency detectors. A simple example demonstrates the excellent performance of the method.
dc.language.iso eng
dc.subjectquadratic representations
Fisher's optimal linear discriminant
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Blind Quadratic and Time Frequency Based Detectors from Training Data
dc.type Conference paper 2004-01-09
dc.citation.bibtexName inproceedings 2004-01-22
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordquadratic representations
Fisher's optimal linear discriminant
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1287]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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