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基于新阈值函数的小波阈值去噪算法
引用本文:王世礼,杨彪. 基于新阈值函数的小波阈值去噪算法[J]. 传感器与微系统, 2017, 36(10). DOI: 10.13873/J.1000-9787(2017)10-0144-03
作者姓名:王世礼  杨彪
作者单位:1. 昆明理工大学信息工程与自动化学院,云南昆明,650500;2. 昆明理工大学信息工程与自动化学院,云南昆明650500;昆明理工大学教育部非常规冶金重点实验室,云南昆明650500
基金项目:昆明理工大学引进人才科研启动基金资助项目
摘    要:针对硬阈值函数不连续和软阈值函数中估计小波系数与分解小波系数之间存在着恒定偏差的缺点,构造了一种新的阈值函数.同时,为了增强去噪效果,采用了模糊控制算法对新阈值函数中的参数进行实时、动态地调节.仿真结果表明:新阈值函数去除噪声效果良好,信噪比和均方根误差等性能指标较传统阈值法均有显著提高.

关 键 词:阈值  去噪  阈值函数  模糊控制

Wavelet threshold denoising algorithm based on new threshold function
WANG Shi-li,YANG Biao. Wavelet threshold denoising algorithm based on new threshold function[J]. Transducer and Microsystem Technology, 2017, 36(10). DOI: 10.13873/J.1000-9787(2017)10-0144-03
Authors:WANG Shi-li  YANG Biao
Abstract:A new threshold function is constructed to overcome shortcomings of constant deviation between the estimated wavelet coefficients and the decomposed wavelet coefficients in the discontinuous of hard threshold function and soft threshold function. At the same time,in order to enhance the denoising effect,use fuzzy control algorithm to adjust the parameters of the new threshold function in real time and dynamic. The simulation results show that the new threshold function has a good effect on removal of noise,and the signal to noise ratio and the root mean square error are significantly improved compared with the traditional threshold method.
Keywords:threshold  de-noising  threshold function  fuzzy control
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