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基于新阈值函数的小波去噪算法 被引量:6

Wavelet de-noising algorithm based on new threshold function
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摘要 分析了小波去噪的特点,针对软、硬阈值的缺陷,构造出一种新的阈值函数及阈值估计方法。新阈值函数连续可导并且新阈值估计方法具有优良的自适应性。仿真实验表明,该方法可以有效去除白噪声干扰,信噪比更高,均方根误差更小,且重构信号的近似性好。 This paper analyzes the characteristics of the wavelet threshold denoising,aiming at the defects of the hard threshold denoising and soft threshold denoising,proposes a new threshold function and threshold estimation methold. The new threshold function is continuous differen- tiable,and the new threshold estimation methold has better adaptive. Simulation experiment is carried out under Matlab environment,the result indicates that the new threshold function is effective in removing white noise,gives better Mean Square Error(MSE) performance and Signal- Noise-Ratio (SNR). Besides,the denoised signals using the new function also follow the original signal very closely.
出处 《微型机与应用》 2016年第17期20-22,25,共4页 Microcomputer & Its Applications
基金 重庆市基础与前沿研究计划项目(cstc2015jcyj A040055) 重庆市教委科学技术研究项目(KJ1500917)
关键词 小波阈值去噪 阈值函数 阈值估计 信噪比 均方根误差 wavelet threshold de-noising threshold function threshold estimation SNR RMSE
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