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dc.contributor.authorVenkatachalam, Vidya
Aravena, Jorge.L.
dc.creatorVenkatachalam, Vidya
Aravena, Jorge.L.
dc.date.accessioned 2007-10-31T01:08:09Z
dc.date.available 2007-10-31T01:08:09Z
dc.date.issued 2000-03-01
dc.date.submitted 2004-01-09
dc.identifier.citation V. Venkatachalam and J. Aravena, "Pseudo Power Scale Signatures: Frequency Domain Approach," Journal of the Franklin Institute, 2000.
dc.identifier.urihttps://hdl.handle.net/1911/20415
dc.description Journal Paper
dc.description.abstract In an earlier work, we introduced a new form of signal representation called the pseudo power signature (PPS) that was essentially independent of the duration of the signal. The signatures were obtained based on the continuous wavelet transform, and were shown to be reliable and discriminating for classification purposes. In this paper, we take a fresh look at the problem of obtaining PPS by carrying out our analysis in the frequency domain. The main advantages of this approach over our earlier one, are that it is more versatile, permits the development of efficient computational algorithms, offers a solution to some unresolved uniqueness problems in our original formulation, and allows the study of the effect of the choice of analyzing wavelet to better aid the classification process.
dc.language.iso eng
dc.subjectpseudo power signature
continuous wavelet transform
frequency domain
dc.subject.otherTime Frequency and Spectral Analysis
dc.title Pseudo Power Scale Signatures: Frequency Domain Approach
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Journal of the Franklin Institute
dc.date.modified 2004-11-04
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordpseudo power signature
continuous wavelet transform
frequency domain
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1016/S0016-0032(00)00026-0


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