A Determination Method of Optimal Decomposition Level in Wavelet Threshold De-noising Algorithm Based on Moving Average Model

被引：0
|
作者：
Jiang, Lin [1 ]
Wang, Chuanchuan [1 ]
Zeng, Yonghu [1 ]
Wang, Liandong [1 ]
机构：
[1] State Key Lab Complex Electromagnet Environm Effe, Luoyang, Peoples R China
来源：
2017 17TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT 2017) | 2017年
关键词：
wavelet threshold de-noising algorithm; optimal decomposition level; moving average model (MA);
D O I：
暂无
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：
The wavelet threshold de-noising algorithm is an effective method for removing noise from the noised signal. The decomposition level has a great influence on the wavelet de-noising effect. If the wavelet decomposition level is not properly set, the filtering effect may not be reached, or some useful information may be filtered. Based on the signal to noise ratio of the noised signal under different wavelet decomposition level, a method of determining the wavelet decomposition level based on the moving average model (MA) is proposed. Through the simulation experiment, it is proved that the method can efficiently determine the optimal decomposition level. The research in present paper may be referenced for the application of wavelet threshold de-noising algorithm.
引用
收藏
页码：1613 / 1617
页数：5
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