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(jì)算法，并對(duì)信噪比的自相關(guān)矩陣奇異值分解估計(jì)法進(jìn)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(duì)曲面最佳適配的靈敏度矩陣進(jìn)行分解，得到不確定度參數(shù)與測(cè)點(diǎn)隨機(jī)誤差的關(guān)系表達(dá)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(gè)對(duì)角矩陣和兩個(gè)正交矩陣，奇異值分解有著非常好的性質(zhì)。
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