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小波消噪阈值算法优化
引用本文:田玉静,左红伟.小波消噪阈值算法优化[J].声学技术,2009,28(4):503-506.
作者姓名:田玉静  左红伟
作者单位:1. 青岛理工大学现代教育技术中心,青岛,266033
2. 青岛理工大学土木工程学院,青岛,266033
摘    要:在研究小波固定阈值消噪方法,讨论阙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,提出了一种自适应闽值优化算法,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。

关 键 词:小波阙值消噪  闽值算法  优化算法  阈值函数
收稿时间:2008/11/2 0:00:00
修稿时间:2009/3/17 0:00:00

Optimization threshold algorithm of wavelet de-noising
TIAN Yu-jing and ZUO Hong-wei.Optimization threshold algorithm of wavelet de-noising[J].Technical Acoustics,2009,28(4):503-506.
Authors:TIAN Yu-jing and ZUO Hong-wei
Affiliation:TIAN Yu-jing, ZUO Hong-wei (1. Modern Educanion and Technology Center, QingDao Technological University., Qingdao 266033, China; 2. School of Civil Engineering, Qingdao Technological University, QingDao 266033, China)
Abstract: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.
Keywords:wavelet threshold de-noising  threshold algorithm  optimization algorithm  threshold function
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