Share Email Print

Proceedings Paper

A comrade-matrix-based derivation of the different versions of fast cosine and sine transforms
Author(s): Alexander Olshevsky; Vadim Olshevsky; Jun Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The paper provides a fully self-contained derivation of fast algorithms to compute discrete Cosine and Sine transforms I - II based on the concept of the comrade matrix. The comrade matrices associated with different versions of the transforms differ in only a few boundary elements; hence, in each case algorithms can be derived in a unified manner.

Paper Details

Date Published: 24 December 2003
PDF: 12 pages
Proc. SPIE 5205, Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, (24 December 2003); doi: 10.1117/12.508161
Show Author Affiliations
Alexander Olshevsky, Georgia Institute of Technology (United States)
Vadim Olshevsky, Univ. of Connecticut (United States)
Jun Wang, Georgia State Univ. (United States)

Published in SPIE Proceedings Vol. 5205:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIII
Franklin T. Luk, Editor(s)

© SPIE. Terms of Use
Back to Top