An Improved Threshold Function for Wavelet De-noising

被引：0
|
作者：
Li, Zhong [1 ]
Zhang, Dong-xue [2 ]
机构：
[1] N China Elect Power Univ, Sch Elect & Elect Engn, Baoding 071003, Peoples R China
[2] Hohhot Power Supply Bureau Inner Mongolia Power g, Hohhot 010050, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1 | 2011年 / 104卷
关键词：
Wavelet transform; Wavelet de-noising; Threshold;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelet de-noising is an important application of wavelet analysis in engineering. In this paper, an improved wavelet threshold function is proposed. Matlab simulation results on Blocks signal with additive white Gaussian noises show that this method is effective and can get the better de-noising effect than the traditional soft or hard threshold method.
引用
收藏
页码：265 / +
页数：2
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