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Proceedings Paper

Rank-revealing decomposition of symmetric Toeplitz matrices
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Paper Abstract

In signal and image processing, regularization often requires a rank-revealing decomposition of a symmetric Toeplitz matrix with a small rank deficiency. In this paper, we present an efficient factorization method that exploits symmetry as well as the rank and Toeplitz properties of the given matrix.

Paper Details

Date Published: 7 June 1995
PDF: 9 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211406
Show Author Affiliations
Franklin T. Luk, Rensselaer Polytechnic Institute (United States)
Sanzheng Qiao, McMaster Univ. (Canada)


Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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