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dc.contributor.authorGADRE, VMen_US
dc.contributor.authorPATNEY, RKen_US
dc.date.accessioned2008-11-21T10:35:28Zen_US
dc.date.accessioned2011-11-25T12:47:48Zen_US
dc.date.accessioned2011-12-26T13:08:52Zen_US
dc.date.accessioned2011-12-27T05:34:15Z-
dc.date.available2008-11-21T10:35:28Zen_US
dc.date.available2011-11-25T12:47:48Zen_US
dc.date.available2011-12-26T13:08:52Zen_US
dc.date.available2011-12-27T05:34:15Z-
dc.date.issued1996en_US
dc.identifier.citationIEEE Transactions on Signal Processing 44(11), 2891-95en_US
dc.identifier.issn1053-587Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/78.542450en_US
dc.identifier.urihttp://hdl.handle.net/10054/91en_US
dc.identifier.urihttp://dspace.library.iitb.ac.in/xmlui/handle/10054/91en_US
dc.description.abstractMultirate architectures have been used for realizing linear FIR digital filters with reduced computational complexity. The Volterra kernel can be represented as a generalized convolution. It would thus be expected that multirate architectures could be used to advantage in realizing Volterra kernels as well. The quadratic Volterra kernel may be realized in the form of an “LDL structure.” The LDL structure includes a set of FIR filters of increasing length, which may be realized in a computationally efficient manner using multirate architectures.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectFir Filtersen_US
dc.subjectVolterra Equationsen_US
dc.subjectComputational Complexityen_US
dc.subjectConvolutionen_US
dc.subjectDigital Filtersen_US
dc.titleUsing multirate architectures in realizing quadratic Volterra kernelsen_US
dc.typeArticleen_US
dc.description.copyrightIEEEen_US
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