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dc.contributor.authorKarkooti, Marjan
Cavallaro, Joseph R.
Dick, Chris
dc.creatorKarkooti, Marjan
Cavallaro, Joseph R.
Dick, Chris
dc.date.accessioned 2007-10-31T00:49:07Z
dc.date.available 2007-10-31T00:49:07Z
dc.date.issued 2005-10-01
dc.date.submitted 2005-10-01
dc.identifier.urihttp://hdl.handle.net/1911/20002
dc.description Conference Paper
dc.description.abstract This paper presents a novel architecture for matrix inversion by generalizing the QR decomposition-based recursive least square (RLS) algorithm. The use of Squared Givens rotations and a folded systolic array makes this architecture very suitable for FPGA implementation. Input is a 4 Ã 4 matrix of complex, floating point values. The matrix inversion design can achieve throughput of 0.13M updates per second on a state of the art Xilinx Virtex4 FPGA running at 115 MHz. Due to the modular partitioning and interfacing between multiple Boundary and Internal processing units, this architecture is easily extendable for other matrix sizes.
dc.language.iso eng
dc.subjectQRD implementation
Squared Givens Rotation
dc.title FPGA Implementation of Matrix Inversion Using QRD-RLS Algorithm
dc.type Conference paper
dc.date.note 2006-05-25
dc.citation.bibtexName inproceedings
dc.date.modified 2006-05-25
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)
dc.subject.keywordQRD implementation
Squared Givens Rotation
dc.citation.pageNumber 1625 - 1629
dc.citation.conferenceName Asilomar Conference on Signals, Systems, and Computers
dc.type.dcmi Text
dc.identifier.citation M. Karkooti, J. R. Cavallaro and C. Dick, "FPGA Implementation of Matrix Inversion Using QRD-RLS Algorithm," pp. 1625 - 1629, 2005.


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  • ECE Publications [1062]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • CMC Publications [275]
    Publications by Rice Faculty and graduate students in multimedia communications

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