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dc.contributor.authorBaraniuk, Richard G.
Bayram, Metin
dc.creatorBaraniuk, Richard G.
Bayram, Metin
dc.date.accessioned 2007-10-31T00:36:12Z
dc.date.available 2007-10-31T00:36:12Z
dc.date.issued 2000-01-20
dc.date.submitted 2004-01-09
dc.identifier.urihttps://hdl.handle.net/1911/19712
dc.description Journal Paper
dc.description.abstract We overview a new non-parametric method for estimating the time-varying spectrum of a non-stationary random process. Our method extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale planes. Unlike previous extensions of Thomson's method, we identify and utilize optimally concentrated Hermite window and Morse wavelet functions and develop a statistical test for extracting chirping line components. Examples on synthetic and real-world data illustrate the superior performance of the technique.
dc.language.iso eng
dc.subjecttime-varying spectrum
chirping line components
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Multiple Window Time Varying Spectrum Estimation
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Cambridge University Press
dc.date.modified 2004-01-22
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordtime-varying spectrum
chirping line components
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation R. G. Baraniuk and M. Bayram, "Multiple Window Time Varying Spectrum Estimation," Cambridge University Press, 2000.


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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