Least mean square algorithm, with the help of the steepest descent algorithm is developed, using wiener filtering for wiener solution of known prior statistical information input signal and the desired signal, and then the input signal under the condition of inversion of the autocorrelation matrix can be determined, low computing complexity and good convergence

Filename	Size	Update
pca 轴承故障诊断程序\pca\144SPE.jpg	80176	2018-03-20
pca 轴承故障诊断程序\pca\144T2.jpg	74568	2018-03-20
pca 轴承故障诊断程序\pca\db5_PCA1.m	3276	2012-07-05
pca 轴承故障诊断程序\pca\gz.xls	950272	2018-03-20
pca 轴承故障诊断程序\pca\pca_shujv.m	552	2018-03-20
pca 轴承故障诊断程序\pca\zc.xls	949248	2018-03-20
pca 轴承故障诊断程序\pca\正常1.mat	3903344	2011-11-17
pca 轴承故障诊断程序\pca\滚珠1.mat	3916160	2011-11-17
pca 轴承故障诊断程序\pca	0	2018-03-20
pca 轴承故障诊断程序	0	2018-03-20

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