The idea is to transmit the signal autocorrelation matrix eigen-decomposition.
其思想是对传输信号自相关矩阵进行特征分解。
参考来源 - 基于无扰动的最大速率传输MIMO系统半盲信道估计·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, a novel unconstrained cost function for the generalized eigen-decomposition is presented and the properties of the cost function are analyzed.
本文提出了一种新的无约束损失函数用于广义特征分解，并且分析了损失函数的特性。
In this method, eigen-decomposition does not have to be used, and the direction spectrum is the power spectrum in common sense (it can be used to estimate signal power).
本方法不需要特征分解，并且得到的是通常意义上的功率谱(可用于估计信号的能量)。
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.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
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