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dc.contributor.authorKnowles, Gregory Percy
dc.date.accessioned2018-04-30T03:46:08Z
dc.date.available2018-04-30T03:46:08Z
dc.date.issued2002-01
dc.identifier.citationG. Knowles, “Hardware Architectures for the Orthogonal and Biorthogonal Wavelet Transform,” VLSI Design, vol. 15, no. 2, pp. 499-506, 2002. doi:10.1080/1065514021000012110
dc.identifier.issn1065-514X
dc.identifier.urihttps://doi.org/10.1080/1065514021000012110
dc.identifier.urihttp://hdl.handle.net/2328/37953
dc.descriptionCopyright © 2002 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.description.abstractIn this note, optimal hardware architectures for the orthogonal and biorthogonal wavelet transforms are presented. The approach used here is not the standard lifting method, but takes advantage of the symmetries inherent in the coefficients of the transforms and the decimation/interpolation operators. The design is based on a highly optimized datapath, which seamlessly integrates both orthogonal and biorthogonal transforms, data extension at the edges and the forward and inverse transforms. The datapath design could be further optimized for speed or low power. The datapath is controlled by a small fast control unit which is hard programmed according to the wavelet or wavelets required by the application. Example circuits are given, including one for the Daubechies 9-7 wavelet which requires only 2.5 multipliers for each input data value, when the equivalent for lifting is 3.
dc.language.isoenen
dc.publisherHindawien
dc.rightsCopyright © 2002 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subjectOrthogonal wavelet transform
dc.subjectBiorthogonal wavelet transform
dc.subjectVLSI
dc.subjectJPEG2000
dc.subjectMPEG4
dc.titleHardware Architectures for the Orthogonal and Biorthogonal Wavelet Transformen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1080/1065514021000012110
dc.date.updated2018-04-26T09:02:02Z
dc.rights.holderHindawi Publishing Corporation.
dc.rights.licenseCC-BY


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