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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
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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)

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