基于互相关的有效奇异值消噪方法  

Improved singular value de-noising method based on cross-correlation

作　　者：潘峥嵘[1] 谯自健 张宁[1] 戴芮 

机构地区：[1]兰州理工大学电气与信息工程学院,兰州730050

出　　处：《计算机工程与应用》2015年第15期221-224,共4页Computer Engineering and Applications

基　　金：甘肃省省自然科学研究基金计划项目(No.1308RJZA273)

摘　　要：为了提高信号的信噪比,针对奇异值分解消噪方法中用于重构的有效奇异值个数难以确定问题,提出了一种基于互相关的有效奇异值选取方法,进而达到消噪的目的。该方法利用单个奇异值重构得到的分量信号,求互相关,从而确定用于重构的有效奇异值个数。通过采用含有不同频率成分的带噪信号对该方法进行验证,并与同类奇异值选择方法进行对比,结果表明,该方法不仅简单易行而且效果较好。In order to improve the Signal to Noise Ratio（SNR）, aiming at the problem how to determine the effective reconstructing number of singular values to de-noise, this method of singular value decomposition based on cross-correlation is proposed. These signals are obtained by reconstruction of every single singular value and cross-correlation coefficients are calculated to determine the effective singular values to reconstruct original signal. This method is validated by the signal including the different frequency components and compared with the similar methods, the results show that this method is not only simple but also better.

关 键 词：信噪比 奇异值 消噪 互相关 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置] TP391.9[自动化与计算机技术—控制科学与工程]