autocorrelation matrix meaning in English

自相关矩阵
自相矩阵

We analyses the different result of pca by using autocorrelation matrix and covariance matrix , and point out that the express of pca is different but the error are the same
分析了用协方差矩阵和自相关矩阵得出的pca表达是不同的，但是两者的误差是相同的。
From the point view of high dimensional data processing , we get the essence of pca , and also easy to explain this difference between autocorrelation matrix method and covariance matrix method
用高维空间数据处理的观点，指出了pca的本质，并从高维空间中，解释了不同方法得到不同pca的原因。
Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ) , and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal , thus lms converges at unacceptably low rates when the input signal is colored noise or speech
由于传统自适应噪声抵消系统( anc )自适应算法主要采用lms算法，而lms算法收敛速度依赖于输入信号自相关矩阵特征值的分散程度。因此，当输入信号是语音或有色噪声时， lms的收敛速度很慢。