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Proceedings Paper

Linear Algebra Algorithms for Matrix-Based Signal Processing
Author(s): Jeffrey M. Speiser
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Paper Abstract

This paper attempts to provide a computational perspective for matrix-based signal processing. Representative areas of modern signal processing are discussed with respect to their dominant computational needs. Parallel algorithms and architectures for the required matrix and vector operations are then surveyed. Issues of interest include modularity and regularity, communication requirements, simplicity of control, and numerical stability.

Paper Details

Date Published: 28 July 1986
PDF: 11 pages
Proc. SPIE 0614, Highly Parallel Signal Processing and Architectures, (28 July 1986); doi: 10.1117/12.960494
Show Author Affiliations
Jeffrey M. Speiser, Naval Ocean Systems Center (United States)

Published in SPIE Proceedings Vol. 0614:
Highly Parallel Signal Processing and Architectures
Keith Bromley, Editor(s)

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