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Singular value decomposition using an array of CORDIC processors
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AI
DOI：10.1016/j.sigpro.2014.03.022.png)
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摘要
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This paper describes a novel mode of operation of an array of CORDIC processors whereby a pair of complex vectors is made orthogonal using a simple, direct procedure in which rotation angles do not need to be evaluated. By this means, singular value decomposition (SVD) of a complex matrix can be achieved using the one-sided Jacobi method described by Hestenes. The procedure provides an efficient and economical implementation of SVD for use in MIMO precoding and other real-time signal processing tasks involving small matrices of complex elements. (C) 2014 Elsevier B.V. All rights reserved.
Keyword:
CORDIC
Singular value decomposition
VLSI
期刊
IF:
3.6
论文数:
9.9K
被引数:
1.7W
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