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dc.contributor.authorSayeed, Akbar M.
Jones, Douglas L.
dc.creatorSayeed, Akbar M.
Jones, Douglas L. 2007-10-31T01:04:07Z 2007-10-31T01:04:07Z 1996-12-01 2004-11-08
dc.identifier.citation A. M. Sayeed and D. L. Jones, "Optimum Quadratic Detection and Estimation Using Generalized Joint Signal Representations," IEEE Transactions on Signal Processing, 1996.
dc.description Journal Paper
dc.description.abstract Time-frequency analysis has recently undergone significant advances in two main directions: statistically optimized methods that extend the scope of time-frequency-based techniques from merely exploratory data analysis to more quantitative application, and generalized joint signal representations that extend time-frequency-based methods to a richer class of nonstationary signals. This paper fuses the two advances by developing statistically optimal detection and estimation techniques based on generalized joint signal representations. By generalizing the statistical methods developed for time-frequency representations to arbitrary joint signal representations, this paper develops a unified theory applicable to a wide variety of problems in nonstationary statistical signal processing.
dc.language.iso eng
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Optimum Quadratic Detection and Estimation Using Generalized Joint Signal Representations
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Signal Processing 2004-11-08
dc.contributor.orgDigital Signal Processing (
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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1468]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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