The what, how, and why of wavelet shrinkage denoising

被引：149

作者：

Taswell, C ^{[1
]}

机构：

[1] Computat Toolsmiths, Stanford, CA USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2000年 / 2卷 / 03期

关键词：

D O I：

10.1109/5992.841791

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Wavelet shrinkage denoising provides a new way to reduce noise in signals. The author demonstrates 1D and 2D examples, tests the performance of various ideal and practical Fourier- and wavelet-based denoising procedures, and makes recommendations for practitioners.

引用

页码：12 / 19

页数：8

共 9 条

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[2] IDEAL SPATIAL ADAPTATION BY WAVELET SHRINKAGE
DONOHO, DL
JOHNSTONE, IM
[J]. BIOMETRIKA, 1994, 81 (03) : 425 - 455
[3] DONOHO DL, 1995, J ROY STAT SOC B MET, V57, P301
[4] WAVELET THRESHOLDING TECHNIQUES FOR POWER SPECTRUM ESTIMATION
MOULIN, P
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (11) : 3126 - 3136
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[8] TASWELL C, 1998, WAVBOX SOFTWARE LIB
[9] TASWELL C, 1999, CT199905

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