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Proceedings Paper

Processing images and sounds with matching pursuits
Author(s): Francois Bergeaud; Stephane G. Mallat
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Paper Abstract

Complex signals need to be adaptively expanded over families of waveforms selected to match their different structures. A matching pursuit is a greedy algorithm that expands signals over vectors that are selected among redundant dictionaries of waveforms. The properties of this algorithm are reviewed. Applications to sound and image processing with dictionaries of time- frequency atoms are described.

Paper Details

Date Published: 1 September 1995
PDF: 12 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217583
Show Author Affiliations
Francois Bergeaud, New York Univ. (United States)
Stephane G. Mallat, New York Univ. (United States)

Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

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