singular value decomposition method

基本解釋

Low-rank estimation used the frequency correlation of the channel and singular value decomposition method.
低秩估計方法利用信道的頻域（/時域）關(guān)性以及奇異值分解技術(shù)。
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(guān)矩陣奇異值分解估計法進行了研究。
Truncated singular value decomposition method(TSVD)was introduced to deal with the ill-posed matrix equation and L-curve method was adopted to choose regularization parameter.
鑒于所考慮問題的不適定性，應(yīng)用截斷奇異值分解和L曲線準則求解離散后得到的高度病態(tài)的線性方程組。