Wavelet Filter for Signals De-noising in ITER PF Converter I&C System

被引：0
|
作者：
Xiaojiao Chen
Liansheng Huang
Peng Fu
Ge Gao
Shiying He
Lili Zhu
Lin Dong
机构：
[1] Chinese Academy of Science (ASIPP),Institute of Plasma Physics
[2] Chinese University of Science and Technology,undefined
[3] China International Nuclear Fusion Energy Program Execution Center,undefined
来源：
Journal of Fusion Energy | 2015年 / 34卷
关键词：
Wavelet transform; Filtering; ITER PF converter I&C system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The wavelet transform has been proved to be an efficient tool for de-noising the signal due to its capability to stand out inhomogeneous and localized signal features. This paper presents a wavelet filter in ITER PF converter I&C system for signals de-noising and processing using the discrete wavelet transform. Daubechies 4 which is an orthogonal wavelet has been selected. The wavelet filter was realized by transforming the signal into the wavelet domain and then reconstructing the signal after eliminating the noise by compulsory de-noising method. The wavelet filter eliminates the noise effectively and accurately, proved by the simulation and experimental results.
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页码：1478 / 1482
页数：4
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