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
收藏
页码：496 / 500
页数：5
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