Triple matrix product architectures for fast signal processing

Author

Aravena, J.L.

Author_Institution

Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA

Volume

35

Issue

1

fYear

1988

fDate

1/1/1988 12:00:00 AM

Firstpage

119

Lastpage

122

Abstract

A procedure is introduced to determine highly concurrent representation of linear algorithms. The technique replaces matrix/vector operations by sums of small-size triple matrix products. A specially dedicated array architecture performs each triple product without intermediate I/O operations. The highly concurrent representation is shown to be possible for any linear algorithm. The special architecture features dual-mode operation for processing elements and closed-loop data circulation. Both characteristics increase the flexibility and speed of the configuration

Keywords

computerised signal processing; parallel algorithms; parallel architectures; closed-loop data circulation; dedicated array architecture; dual-mode operation; fast signal processing; highly concurrent representation; linear algorithms; parallel processing; triple matrix products; Array signal processing; Circuit stability; Circuit testing; Circuits and systems; Digital filters; Multidimensional signal processing; Multidimensional systems; Polynomials; Signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.1708

Filename

1708