摘要
小波阈值去噪算法简单,计算量小,但是硬阈值函数的不连续性会造成信号的振荡,软阈值函数太过光滑会造成信号高频信息丢失.基于两种阈值函数存在的缺点,在小波变换理论基础上研究了一种改进的小波阈值语音去噪算法,提出了一种改进的阈值函数,同时也提出了修正阈值的修正系数.最后通过MATLAB仿真结果证明该方法在一定程度上可以去除噪声,减少信号的振荡,保留原信号的特征尖峰点信息,降低了信号的失真,更好地估计原始信号,明显改善了语音质量.
The wavelet threshold denoising algorithm is simple and its computation is less. However, the discon- tinuousness of a hard threshold function will cause signal oscillations and a soft threshold function that is too smooth will cause the information loss of high-frequency signal. Based on the disadvantages of two threshold functions,a speech denoising algorithm is developed based on wavelet thresholding,and an improved threshol- ding function and correction coefficient of revise threshold are put forward. Finally,the Matlab simulation resuits prove that this method can remove the noise to some extent, reduce the oscillation and distortion of the signals, and retain the characteristics peak information of the original signal. It estimates the original signal very well and improves the speech quality obviously.
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2014年第5期647-650,共4页
Journal of Henan Polytechnic University（Natural Science）
基金
国家创新方法工作专项项目(2010IM020500)
关键词
小波阈值去噪
小波变换
阈值函数
wavelet thresholding denoising
wavelet transform
thresholding function
