例句與造句

1. 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
   分析了用協(xié)方差矩陣和自相關(guān)矩陣得出的pca表達是不同的，但是兩者的誤差是相同的。
2. 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
   用高維空間數(shù)據(jù)處理的觀點，指出了pca的本質(zhì)，并從高維空間中，解釋了不同方法得到不同pca的原因。
3. 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
   由于傳統(tǒng)自適應(yīng)噪聲抵消系統(tǒng)( anc )自適應(yīng)算法主要采用lms算法，而lms算法收斂速度依賴于輸入信號自相關(guān)矩陣特征值的分散程度。因此，當輸入信號是語音或有色噪聲時， lms的收斂速度很慢。
4. It's difficult to find autocorrelation matrix in a sentence. 用autocorrelation matrix造句挺難的