DocumentCode
2342928
Title
The role of approximation and smoothness spaces in compression and noise removal
Author
DeVore, Ronald A. ; Temlyakov, Vladimir
Author_Institution
Dept. of Math., South Carolina Univ., Columbia, SC, USA
fYear
1994
fDate
27-29 Oct 1994
Firstpage
52
Abstract
A brief discussion is given of the role of approximation and smoothness spaces in algorithms for noise removal and compression. The discussion is limited to cases where approximation takes place in a Hilbert space although the theory applies in far greater generality
Keywords
Hilbert spaces; approximation theory; data compression; noise; smoothing methods; Hilbert space; algorithms; approximation; noise removal; smoothness spaces; wavelets; Approximation algorithms; Approximation error; Contracts; Fourier series; Hilbert space; Linear approximation; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513883
Filename
513883
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