Efficient Complex Matrix Transformations with CORDIC

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE Symposium on Computer Arithmeticen_US
dc.citation.firstpage122en_US
dc.citation.lastpage129en_US
dc.citation.locationWindsor, Canadaen_US
dc.contributor.authorHemkumar, Nariankadu D.en_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:46:39Zen_US
dc.date.available2007-10-31T00:46:39Zen_US
dc.date.issued1993-06-20en_US
dc.date.modified2001-08-29en_US
dc.date.note2001-08-29en_US
dc.date.submitted1993-06-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractTransformations of real and arbitrary 2 x 2 matrices are employed in parallel algorithms based on Jacobi-like precedures for matrix factorizations like the eigenvalue and the singular value decompositions. Cast in the primitives afforded by the CORDIC algorithms, significant speedup may be achieved in the performance of special-purpose processor array architectures. In this paper, we discuss the use of CORDIC for unitary two-sided 2x 2 matrix transformation. We emphasize integration of evaluation of parameters with application of transformations, using only the primitives afforded by CORDIC. Implementation alternatives are presented in both non-redundant and the redundant and on-line approaches to CORDIC.en_US
dc.identifier.citationN. D. Hemkumar and J. R. Cavallaro, "Efficient Complex Matrix Transformations with CORDIC," 1993.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19946en_US
dc.language.isoengen_US
dc.subjectJacobien_US
dc.subjectCORDICen_US
dc.subjectsingular value decompositions (SVD)en_US
dc.subject.keywordJacobien_US
dc.subject.keywordCORDICen_US
dc.subject.keywordsingular value decompositions (SVD)en_US
dc.titleEfficient Complex Matrix Transformations with CORDICen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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