Linear Algebra Algorithms for Matrix-Based Signal Processing

Jeffrey M. Speiser

doi:10.1117/12.960494

28 July 1986 Linear Algebra Algorithms for Matrix-Based Signal Processing

Jeffrey M. Speiser

Proceedings Volume 0614, Highly Parallel Signal Processing and Architectures; (1986) https://doi.org/10.1117/12.960494
Event: O-E/LASE'86 Symposium, 1986, Los Angeles, CA, United States

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.

Citation Download Citation

Jeffrey M. Speiser "Linear Algebra Algorithms for Matrix-Based Signal Processing", Proc. SPIE 0614, Highly Parallel Signal Processing and Architectures, (28 July 1986); https://doi.org/10.1117/12.960494

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available