摘要
在研究小波固定阈值消噪方法,讨论阈值估计经验公式的基础上,针对加性噪声小波变换后的统计特征,提出了一种自适应阈值优化算法,该算法可以较准确地估计噪声水平,在消噪的同时保留语音信号中的弱特征成分。通过仿真实验验证,优化算法较传统算法能够更加有效地消除语音噪声,获得最大信噪比。
An adaptive optimization threshold algorithm is presented based on the experiential wavelet threshold expressions after the classical wavelet threshold de-noising methods are studied. According to the statistical characteristics of the wavelet noise, the scales of noise threshold are estimated exactly with the optmizafion algorithm, the weak features of speech signal can be preserved effectively and the noise is eliminated adequately at the same time. The simulation result shows a better effect of the optimization algorithm on noise reduction than the conventional algorithm, and an optimal signal to noise ratio could be obtained.
出处
《声学技术》
CSCD
2009年第4期503-506,共4页
Technical Acoustics
关键词
小波阙值消噪
闽值算法
优化算法
阈值函数
wavelet threshold de-noising
threshold algorithm
optimization algorithm
threshold function
