A study of threshold de-noising method and its application in signal processing

被引：1
|
作者：
Wu Zuoju [1 ]
Bi Junwei [1 ]
Wang Zhijia [1 ]
机构：
[1] Southwest Jiaotong Univ, Chengdu 610031, Sichuan, Peoples R China
来源：
2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA) | 2014年
关键词：
threshold de-noising method; wavelet transform; wavelet packet transform; WAVELET SHRINKAGE;
D O I：
10.1109/ISDEA.2014.27
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article, the characteristics, theories and classification of the threshold de-noising method are introduced in detail. According to the study, when wavelet threshold de-noising method is compared with the wavelet packet threshold de-noising method, the first method is suitable for dealing with the low frequency information, but the second method is available to deal with the information with high frequency. On the other hand, through the study of this thesis, we found the soft-threshold processing method is better than the hard-threshold processing method in most cases.
引用
收藏
页码：88 / 91
页数：4
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