基于小波变换微弱生命信号提取的研究  

Research of weak life signals’extraction based on wavelet transform

作　　者：齐涛[1] 倪原[1] 

机构地区：[1]西安工业大学电子信息工程学院,陕西西安710032

出　　处：《电子设计工程》2009年第11期94-96,共3页Electronic Design Engineering

基　　金：陕西省教育厅专项科技基金资助项目(05JK225)

摘　　要：利用小波变换研究微弱生命信号提取问题,简要介绍Mallat算法,采用小波阈值去噪法对强噪声背景下微弱生命信号进行去噪研究,并简要介绍阈值的估计方法,通过实例,利用MATLAB仿真验证小波变换在微弱生命信号的提取中可取得良好的效果。Weak life signals＇ extraction by the wavelet transform is researched in this paper.Mallat algorithm is briefly introduced,denoising problem of how to remove the noise of weak life signal against the background of strong noise by use of wavelet thresholding denoising method is researched,and the threshold estimation method is briefly introduced.Through a practical example,the use of MATLAB simulation validates that the wavelet transform can obtain good results in extracting the weak life signal.

关 键 词：小波变换 微弱生命信号 去噪 阈值 多分辨分析(MRA) 

分 类 号：TN957.51[电子电信—信号与信息处理]