A New Wavelet Thresholding Function Based on Hyperbolic Tangent Function

被引:18
|
作者
He, Can [1 ]
Xing, Jianchun [1 ]
Li, Juelong [2 ]
Yang, Qiliang [1 ]
Wang, Ronghao [1 ]
机构
[1] PLA Univ Sci & Technol, Coll Def Engn, Nanjing 210007, Jiangsu, Peoples R China
[2] Naval Def Engn, Tech Management Off, Beijing 100841, Peoples R China
关键词
All Open Access; Gold; Green;
D O I
10.1155/2015/528656
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Thresholding function is an important part of the wavelet threshold denoising method, which can influence the signal denoising effect significantly. However, some defects are present in the existing methods, such as function discontinuity, fixed bias, and parameters determined by trial and error. In order to solve these problems, a new wavelet thresholding function based on hyperbolic tangent function is proposed in this paper. Firstly, the basic properties of hyperbolic tangent function are analyzed. Then, a new thresholding function with a shape parameter is presented based on hyperbolic tangent function. The continuity, monotonicity, and high-order differentiability of the new function are theoretically proven. Finally, in order to determine the final form of the new function, a shape parameter optimization strategy based on artificial fish swarm algorithm is given in this paper. Mean square error is adopted to construct the objective function, and the optimal shape parameter is achieved by iterative search. At the end of the paper, a simulation experiment is provided to verify the effectiveness of the new function. In the experiment, two benchmark signals are used as test signals. Simulation results show that the proposed function can achieve better denoising effect than the classical hard and soft thresholding functions under different signal types and noise intensities.
引用
收藏
页数:10
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