Design of Linear Phase Cosine Modulated Filter Banks for Subband Image Compression

dc.citation.bibtexNametechreporten_US
dc.citation.journalTitleRice University CML Technical Reporten_US
dc.contributor.authorOdegard, Jan E.en_US
dc.contributor.authorGopinath, Ramesh A.en_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.contributor.orgCML (http://cml.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:56:45Zen_US
dc.date.available2007-10-31T00:56:45Zen_US
dc.date.issued1994-01-15en_US
dc.date.modified2003-07-12en_US
dc.date.submitted2002-09-23en_US
dc.descriptionTech Reporten_US
dc.description.abstractWavelet methods give a flexible alternative to Fourier methods in non-stationary signal analysis. The concept of band-limitedness plays a fundamental role in Fourier analysis. Since wavelet theory replaces frequency with scale, a natural question is whether there exists a useful concept of scale-limitedness. Obvious definitions of scale-limitedness are too restrictive, in that there would be few or no useful scale-limited signals. This paper introduces a viable definition for scale-limited signals, and shows that the class is rich enough to include bandlimited signals, and impulse trains, among others. Moreover, for a wide choice of criteria, we show how to design the optimal wavelet for representing a given signal, and how to design robust wavelets that optimally represent certain classes of signals.en_US
dc.identifier.citationJ. E. Odegard, R. A. Gopinath and C. S. Burrus, "Design of Linear Phase Cosine Modulated Filter Banks for Subband Image Compression," <i>Rice University CML Technical Report,</i> 1994.en_US
dc.identifier.urihttps://hdl.handle.net/1911/20169en_US
dc.language.isoengen_US
dc.subjectfilter banksen_US
dc.subject.keywordfilter banksen_US
dc.subject.otherFilter Banksen_US
dc.titleDesign of Linear Phase Cosine Modulated Filter Banks for Subband Image Compressionen_US
dc.typeReporten_US
dc.type.dcmiTexten_US
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