... matrix QR decomposition 矩阵QR ; 矩阵qr分解 matrix eigenvalue decomposition 矩阵特征值分解 matrix ud decomposition ud分解 ; 矩阵ud分解 ; 矩阵UD分解 ...
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利用协方差矩阵的特征值。 能实现信号和噪声的分解。
The eigenvalue of covariance matrix can be used to separate signal from noise.
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。
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.
基于转换测量误差协方差矩阵的特征值分解,给出了转换位置测量的时间渐近特性。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
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