Time Frequency Detectors

Files in this item

Files Size Format View
Say1996Jan5TimeFrequ.PS 588.8Kb application/postscript View/Open

Show simple item record

Item Metadata Sayeed, Akbar M.
Jones, Douglas L.
dc.creator Sayeed, Akbar M.
Jones, Douglas L. 2007-10-31T01:04:16Z 2007-10-31T01:04:16Z 1996-01-20 1996-01-20
dc.description Conference Paper
dc.description.abstract Time-frequency representations (TFRs) provide a powerful and flexible structure for designing optimal detectors in a variety of nonstationary scenarios. In this paper, we describe a TFR-based framework for optimal detection of arbitrary second-order stochastic signals, with certain unknown or random nuisance parameters, in the presence of Gaussian noise. The framework provides a useful model for many important applications including machine fault diagnostics and radar/sonar. We emphasize a subspace-based formulation of such TFR detectors which can be exploited in a variety of ways to design new techniques. In particular, we explore an extension based on multi-channel/sensor measurements that are often available in practice to facilitate improved signal processing. In addition to potentially improved performance, the subspace-based interpretation of such multi-channel detectors provides useful information about the physical mechanisms underlying the signals of interest.
dc.language.iso eng
dc.subject second-order stochastic signals
Gaussian noise
multi-channel/sensor measurements
dc.subject.other Time Frequency and Spectral Analysis
dc.title Time Frequency Detectors
dc.type Conference paper 2004-01-09
dc.citation.bibtexName inproceedings 2004-01-22 Digital Signal Processing (
dc.subject.keyword second-order stochastic signals
Gaussian noise
multi-channel/sensor measurements
dc.citation.conferenceName Conference on Information Sciences and Systems
dc.type.dcmi Text
dc.identifier.citation A. M. Sayeed and D. L. Jones, "Time Frequency Detectors," 1996.

This item appears in the following Collection(s)

  • ECE Publications [1048 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.