双模噪声背景下多阈值小波包在信号消噪中的应用  

The Signal De-Noising Based on Multi-Threshold Wavelet Packet under Dual-Mode Noise

作　　者：孙万麟[1] 山拜.达拉拜 

机构地区：[1]昌吉学院物理系,新疆昌吉831100 [2]新疆大学信息科学与工程学院,新疆乌鲁木齐830046

出　　处：《江西师范大学学报（自然科学版）》2015年第3期315-318,共4页Journal of Jiangxi Normal University(Natural Science Edition)

基　　金：新疆维吾尔自治区高校科研计划课题(XJEDU2014S068);昌吉学院科研重点课题(2013YJZD002)资助项目

摘　　要：针对一类非高斯噪声——双模噪声信号进行消噪时,传统小波变换和小波包变换在选取恰当阈值准则及阈值量化时存在困难,通过详细分析双模噪声信号结构及频率分布特征,在将小波包分解频带按照频率顺序排列且通过比较最底层子空间节点能量大小的基础上,提出一种将频带进行多分段的多阈值小波包消噪方法.实验结果表明:在双模噪声且信噪比相同情况下,该方法比传统的多尺度小波软阈值、小波包自适应阈值消噪效果都优越,是一种非常有效的信号消噪方法.For a class of non-Gaussian noise-dual-mode noise de-noising,traditional wavelet transform and wavelet packet transform had difficulty in selecting the appropriate threshold criteria and thresholds to quantify. Through de-tailed analysis of the structure and frequency distribution characteristics of the dual-mode noise signal,and based on wavelet packet decomposition frequency band according to the order and comparing the lowest level of energy sub-space node,a band of multi segment and multi threshold wavelet packet de-noising method has been proposed. Sim-ulation results show that in the background of the dual-mode noise and signal to noise ratio under the same situa-tion,this method which is a very effective method of signal de-noising is better than the traditional multi-scale wave-let soft threshold and wavelet packet adaptive threshold de-noising effect.

关 键 词：小波包 多阈值 双模噪声 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]