一种新型阈值决策的小波去噪方法  

A Novel Denoising Method with an Improved Wavelet Thresholding

作　　者：邱爱中[1] 

机构地区：[1]郑州师范学院物理系,河南郑州4500443

出　　处：《通信技术》2011年第8期113-115,共3页Communications Technology

基　　金：河南省科技攻关项目(No.112102210128);河南省教育厅自然科学研究项目(No.2011C510005)

摘　　要：在传统软、硬阈值函数去噪的基础上,提出了一种新型阈值函数和自适应阈值的去噪方法。阐述了改进型阈值函数的特点。改进型阈值函数与传统软、硬阈值函数相比,克服了软阈值信号失真和硬阈值信号不连续、振荡等缺点。为了解决在每一级尺度上都采用同一阈值的不足问题,将自适应阈值算法引入去噪。实验表明:此去噪法提高了重构信号的信噪比,有效去除了噪声,且保留了原始信号的细节特征,与传统去噪法相比是一种较好的恢复微弱信号的方法,在通信去噪中具有较高的实用价值。Based on traditional soft and hard thresholding function denoising,s denoising method with improved thresholding function and adaptive threshold is proposed.The improved thresholding function could overcome the shortcoming of soft and hard threshold algorithom.The adaptive threshold is introduced to solve the problem of same threshold in different series.The experiments indicate that this method could extract the detailed feature submerged in a heavy noise,and obtain the main characteristic of the original signal,and is superior to the traditional methods.The proposed method,when applied in communication,could obtain fairly high signal-to-noise ratio（SNR） and achieve effective denoising.

关 键 词：改进型阈值函数 自适应阈值 信号去噪 弱信号提取 

分 类 号：TN943.6[电子电信—信号与信息处理] TH165.3[电子电信—信息与通信工程]