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Proceedings Paper

Time-frequency analysis with best local cosine bases
Author(s): Yan Huang; Ilya Pollak; Charles A. Bouman; Minh N. Do
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Paper Abstract

We propose new best basis search algorithms for local cosine dictionaries. We provide several algorithms for dictionaries of various complexity. Our framework generalizes the classical best local cosine basis selection based on a dyadic tree.

Paper Details

Date Published: 21 May 2004
PDF: 6 pages
Proc. SPIE 5299, Computational Imaging II, (21 May 2004); doi: 10.1117/12.538998
Show Author Affiliations
Yan Huang, Purdue Univ. (United States)
Ilya Pollak, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)
Minh N. Do, University of Illinois/Urbana-Champaign (United States)

Published in SPIE Proceedings Vol. 5299:
Computational Imaging II
Charles A. Bouman; Eric L. Miller, Editor(s)

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