兵工自动化Issue(8)：64-67,4.DOI:10.7690/bgzdh.2013.08.018
基于奇异值的小波变换微弱信号消噪法
De-Noising Method for Weak Signal of Wavelet Transformation Based on Singular Value
摘要
Abstract
In view of the deficiencies with low signal noise ratio (SNR) and non-uniform noise distribution, an algorithm based on singular value decomposition (SVD) plus wavelet threshold de-noising is presented. The phase space matrix is constructed by SVD, getting a series of orthogonal subspaces. According to the different contribution of signal and noise for the singular value, a determine method about the least squares error is proposed for estimating the number of effective singular value. The subspaces reconstruct signal by the wavelet threshold method. The results show that the extracted signals have better integrity and higher SNR.关键词
微弱信号/奇异值分解/最小二乘误差/重构信号/小波阈值消噪Key words
weak signal/singular value decomposition/least squares error/reconstruction signal/wavelet threshold de-noising分类
信息技术与安全科学引用本文复制引用
周洪成..基于奇异值的小波变换微弱信号消噪法[J].兵工自动化,2013,(8):64-67,4.基金项目
江苏省教育厅自然基金(11KJD510002) （11KJD510002）
