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Wavelets, subband coding, and best bases

delete1996-04-01
delete94
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OA
AI
K
Kannan Ramchandran
M
Martin Vetterli
C
Cormac Herley
DOI:10.1109/5.488699delete
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Abstract

Abstract

En 中文
The emergence of wavelets has led to a convergence of linear expansion methods used in signal processing and applied mathematics. In particular, subband coding methods and their associated filters are closely related to wavelet constructions. We first review such constructions with a signal processing perspective. We then discuss the idea behind signal adapated bases and associated algorithms before showing how wavelets and subband coding methods are used in signal compression applications.
Keywords:
COMPACTLY SUPPORTED WAVELETS
BLOCK SPIN CONSTRUCTION
FILTER BANKS
ONDELETTES
INFORMATION
DESIGN

Journal

Proceedings of the IEEE cover
Proceedings of the IEEE
IF:
25.9
Papers:
9.9K
Citations:
4.5W

Organization

No organization information available
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