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
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;
Conference_Titel :
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2761-6
DOI :
10.1109/WITS.1994.513883
