Adaptive wavelet domain thresholding denoising

被引:0
|
作者
Shi, HL [1 ]
Cai, YL [1 ]
Qiu, ZL [1 ]
机构
[1] Xian Jiaotong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源
FIFTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY | 2003年 / 5253卷
关键词
wavelet transform; adaptive filter; thresholding function; neural network;
D O I
10.1117/12.521671
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new differentiable hard-thresholding function is presented that could replace the hard-thresholding function proposed by Xiao-Ping Zhang as the activation function of wavelet Thresholding Neural Network (TNN). Some numerical experiments show that this hard-thresholding function is more effective in the determination of global optimal solution in signal denoising.
引用
收藏
页码:245 / 250
页数:6
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