An Adaptive Wavelet Threshold De-Nosing both in Low and High Frequency Domains
DONG Wen-yong1, DING Hong2,3, DONG Xue-shi1, WANG Yu-feng1
1. Computer School, Wuhan University, Wuhan, Hubei 430072, China;
2. A Key Laboratory of Fiber Optic Sensing Technology and Information Processing(Wuhan University of Technology), Ministry of Education, Wuhan, Hubei 430070, China;
3. Department of Mathematics and Computer Science, Guangxi Science & Technology Normal University, Liuzhou, Guangxi 545004, China
It always tends to assume that the noise contained in signal spread over high frequency domain in the traditional wavelet threshold de-noising techniques.However,it doesn't hold for different noise categories,and threshold de-noising methods in most literatures rarely mention the noise influence spread over low frequency domain.Thus,a new framework for noise reduction base on full frequency domain using wavelet decomposition and noise-type detection are proposed.In this framework,the noise type is firstly to be detected by analyzing autocorrelation coefficient for different noise,and then noise reduction is performed both in low and high frequency domain.The experimental results show that:(1) when signal-to-noise ratio is low,our method not only always achieves better de-nosing performance,but needs fewer decomposition layers than the traditional methods;(2) when the signal-to-noise ratio is high,our method can obtain the same performance as the traditional methods,but our method needs less decomposition layers.
董文永, 丁红, 董学士, 王豫峰. 一种小波自适应阈值全频降噪方法[J]. 电子学报, 2015, 43(12): 2374-2380.
DONG Wen-yong, DING Hong, DONG Xue-shi, WANG Yu-feng. An Adaptive Wavelet Threshold De-Nosing both in Low and High Frequency Domains. Chinese Journal of Electronics, 2015, 43(12): 2374-2380.
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2015, Vol. 43 
