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Proceedings Paper

Systolic Array Computation Of The Singular Value Decomposition
Author(s): Alan M. Finn; Franklin T. Luk; Christopher Pottle
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Paper Abstract

Linear time computation of the singular value decomposition (SVD) would be useful in many real time signal processing applications. Two algorithms for the SVD have been developed for implementation on a quadratic array of processors. A specific architecture is proposed and we demonstrate the mapping of the algorithms to the architecture. The algorithms and architecture together have been verified by functional level and register transfer level simulation.

Paper Details

Date Published: 28 December 1982
PDF: 9 pages
Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); doi: 10.1117/12.933694
Show Author Affiliations
Alan M. Finn, Cornell University (United States)
Franklin T. Luk, Cornell University (United States)
Christopher Pottle, Cornell University (United States)


Published in SPIE Proceedings Vol. 0341:
Real-Time Signal Processing V
Joel Trimble, Editor(s)

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