matrix singular value decomposition

基本解釋

This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介紹了一種典型的信噪比估計算法，并對信噪比的自相關矩陣奇異值分解估計法進行了研究。
The sensitivity matrix was then decomposed by singular value decomposition (SVD) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated.
采用矩陣的奇異值分解原理，對曲面最佳適配的靈敏度矩陣進行分解，得到不確定度參數(shù)與測點隨機誤差的關系表達式。
By decomposing a matrix into one diagonalizable matrix and two orthogonal matrixes, singular value decomposition has very good properties.
奇異值分解是將一矩陣分解為一個對角矩陣和兩個正交矩陣，奇異值分解有著非常好的性質。
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