A New Signal Denoising Method Based on Wavelet Threshold Algorithm

被引：0
|
作者：
Chen, Liming [1 ]
Xie, Bin [2 ]
机构：
[1] Leshan Normal Univ, Dept Phys & Elect Engn, Leshan, Peoples R China
[2] Chengdu Univ Technol, Engn Tech Coll, Off Acad Affairs, Leshan, Peoples R China
来源：
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年
关键词：
signal de-noising; wavelet transform; threshold function; optimal threshold; signal to noise ratio;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to effectively eliminate the noise in the signal, a de-noising algorithm is proposed based improved wavelet threshold algorithm. Firstly, the advantages and disadvantages of wavelet soft threshold and hard threshold method are analysis, and constructs a new threshold function with an arbitrary derivative, secondly the optimal thresholds are estimated by adjusting the parameter values, finally the simulation experiment are carried out to test the de-noising performance on the Matlab 2012 platform. The results show that, compared with other signal de-noising algorithms, the proposed algorithm can improve the signal to noise ratio, and mean square error is decreased, it can obtain a better de-noising effect and has higher practical application value.
引用
收藏
页码：1961 / 1964
页数：4
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