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dc.contributor.authorFernandes, Felix
Selesnick, Ivan W.
van Spaendonck, Rutger
Burrus, C. Sidney
dc.creatorFernandes, Felix
Selesnick, Ivan W.
van Spaendonck, Rutger
Burrus, C. Sidney
dc.date.accessioned 2007-10-31T00:43:44Z
dc.date.available 2007-10-31T00:43:44Z
dc.date.issued 2003-08-20
dc.date.submitted 2003-06-27
dc.identifier.urihttp://hdl.handle.net/1911/19879
dc.description Journal Paper
dc.description.abstract Complex discrete wavelet transforms have significant advantages over real wavelet transforms for certain signal processing problems. Two approaches to the implementation of complex wavelet transforms have been proposed earlier. Both approaches require discrete-time allpass systems having approximately linear-phase and (fractional) delay. This paper compares the results when different allpass systems are used. In the earlier work, maximally flat delay allpass systems were used. In this paper, it is shown that an allpass system designed according to the minimax criterion yields improvements for the complex discrete wavelet transforms.
dc.language.iso eng
dc.subjectcomplex wavelet transforms directionality shift invariance phase non-redundant
dc.subject.otherFilter Banks
dc.title Complex Wavelet Transforms with Allpass Filters
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Signal Processing
dc.date.modified 2003-06-27
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordcomplex wavelet transforms directionality shift invariance phase non-redundant
dc.citation.volumeNumber 83
dc.citation.issueNumber 8
dc.type.dcmi Text
dc.type.dcmi Text
dc.citation.firstpage 1689
dc.citation.lastpage 1706
dc.identifier.citation F. Fernandes, I. W. Selesnick, R. van Spaendonck and C. S. Burrus, "Complex Wavelet Transforms with Allpass Filters," Signal Processing, vol. 83, no. 8, 2003.


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  • ECE Publications [1068]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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