correlation matrix

基本解釋

This algorithm utilizes time-average channel correlation matrix in place of exact channel correlation matrix and approximates the MMSE estimator by a low-rank structure.
該算法利用信道的時間平均相關取代統(tǒng)計相關，結合了基于特征值分解的低秩建模，從而近似地實現(xiàn)MMSE估計。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通過對相關矩陣進行特征值分解，估計信號子空間和噪聲子空間，并利用MU S IC算法估計寬帶LFM信號的波達方向。
A modified ULV updating algorithm. is applied to performing noise subspace tracking. The algorithm does not require rank estimation of the correlation matrix, and estimate directly the noise subspace.
使用一種修改的ULV更新算法進行噪聲子空間跟蹤，該算法不需要相關矩陣的秩估計，直接估計噪聲子空間。

相關矩陣
Using diagonal dominance property of correlation matrix,we propose a lower complexity linear detection algorithm and it’ s fast implementation algorithm.
本文利用相關矩陣的對角占優(yōu)性,提出了一種低復雜度的線性檢測算法,以及快速的實現(xiàn)方法。
關聯(lián)矩陣

相關矩陣
Through many tests, the relative error of correlation matrix between the results of our design and MATLAB program is better than 6‰.
通過實際測試,相關矩陣的計算結果與雙精度浮點的相比,相對誤差在2‰～6‰之間。
相關度矩陣