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Proceedings Paper

Systolic Arrays For Eigenvalue Computation
Author(s): George Eichmann
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Paper Abstract

There are many cases, both in signal and in image processing applications, where the eigenvalues and vectors of particular matrix operators are required. Furthermore, in many situations, on a particular matrix operator, there is an a priori information available. Most eigenvalue algorithms do not utilize all the available information. In this paper, the use of the Lie algebra of matrix operators is suggested for systolic array eigenvector and value computation. After a brief survey of the relevant Lie algebra for such computation, a number of possible Lie signal processing algebra examples are presented.

Paper Details

Date Published: 4 January 1986
PDF: 6 pages
Proc. SPIE 0564, Real-Time Signal Processing VIII, (4 January 1986); doi: 10.1117/12.949701
Show Author Affiliations
George Eichmann, The City College of the City University of New York (United States)


Published in SPIE Proceedings Vol. 0564:
Real-Time Signal Processing VIII
Keith Bromley; William J. Miceli, Editor(s)

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