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A comrade-matrix-based derivation of the different versions of fast cosine and sine transforms (Proceedings Paper)

Author(s): Alexander Olshevsky; Vadim Olshevsky; Jun Wang
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Proceedings Vol. 5205

Advanced Signal Processing Algorithms, Architectures, and Implementations XIII, Franklin T. Luk, Editors, pp.399-410

Date: 24 December 2003

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.
DOI: 10.1117/12.508161
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