New class of wavelets for signal approximation

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Symposium on Circuits and Systems (ISCAS)en_US
dc.citation.locationAtlanta, GAen_US
dc.contributor.authorOdegard, Jan E.en_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:56:57Zen_US
dc.date.available2007-10-31T00:56:57Zen_US
dc.date.issued1996-05-20en_US
dc.date.modified2001-10-05en_US
dc.date.note2001-10-05en_US
dc.date.submitted1996-05-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractThis paper develops a new class of wavelets for which the classical Daubechies zero moment property has been relaxed. The advantages of relaxing higher order wavelet moment constraints is that within the framework of compact support and perfect reconstruction (orthogonal and biorthogonal) one can obtain wavelet basis with new and interesting approximation properties. This paper investigates a new class of wavelets that is obtained by setting a few lower order moments to zero and using the remaining degrees of freedom to minimize a larger number of higher order moments. The resulting wavelets are shown to be robust for representing a large classes of inputs. Robustness is achieved at the cost of exact representation of low order polynomials but with the advantage that higher order polynomials can be represented with less error compared to the maximally regular solution of the same support.en_US
dc.identifier.citationJ. E. Odegard and C. S. Burrus, "New class of wavelets for signal approximation," 1996.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ISCAS.1996.540384en_US
dc.identifier.urihttps://hdl.handle.net/1911/20174en_US
dc.language.isoengen_US
dc.subjectwaveletsen_US
dc.subjectDaubechiesen_US
dc.subjectorthogonalen_US
dc.subjectbiorthogonalen_US
dc.subject.keywordwaveletsen_US
dc.subject.keywordDaubechiesen_US
dc.subject.keywordorthogonalen_US
dc.subject.keywordbiorthogonalen_US
dc.titleNew class of wavelets for signal approximationen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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