Data analytic wavelet threshold selection in 2-D signal denoising

被引：34

作者：

Hilton, ML

Ogden, RT

机构：

[1] UNIV S CAROLINA,DEPT COMP SCI,COLUMBIA,SC 29208

[2] UNIV S CAROLINA,DEPT STAT,COLUMBIA,SC 29208

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1997年 / 45卷 / 02期

关键词：

D O I：

10.1109/78.554318

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A data adaptive scheme for wavelet shrinkage-based noise removal is developed. The method involves a statistical test of hypothesis that takes into account the wavelet coefficients' magnitudes and relative positions. The amount of smoothing performed during noise removal is controlled by the user-supplied confidence level of the tests.

引用

页码：496 / 500

页数：5

共 17 条

[1]

[Anonymous], 1996, Wavelets in Medicine and Biology

[2] ORTHONORMAL BASES OF COMPACTLY SUPPORTED WAVELETS [J].