The role of approximation and smoothness spaces in compression and noise removal

Proceedings of 1994 Workshop on Information Theory and Statistics Pub Date : 1994-10-27 DOI:10.1109/WITS.1994.513883

R. DeVore, V. Temlyakov

引用次数: 0

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.

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逼近和平滑空间在压缩和去噪中的作用

简要讨论了近似空间和平滑空间在噪声去除和压缩算法中的作用。讨论仅限于近似发生在希尔伯特空间的情况，尽管该理论适用于更广泛的情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of 1994 Workshop on Information Theory and Statistics

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