Systolic Arrays For Eigenvalue Computation

George Eichmann

doi:10.1117/12.949701

4 January 1986 Systolic Arrays For Eigenvalue Computation

George Eichmann

Proceedings Volume 0564, Real-Time Signal Processing VIII; (1986) https://doi.org/10.1117/12.949701
Event: 29th Annual Technical Symposium, 1985, San Diego, United States

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.

Citation Download Citation

George Eichmann "Systolic Arrays For Eigenvalue Computation", Proc. SPIE 0564, Real-Time Signal Processing VIII, (4 January 1986); https://doi.org/10.1117/12.949701

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