Chouinard, "Eigendecomposition of the multi-channel covariance matrix with applications to SAR-GMTI," Signal Processing, vol. 84, no. 9, pp. 1501-1535, September 2004.I. C. Sikaneta,J. -Y. Chouinard.Eigendecomp
2.The new method avoids the estimation and eigendecomposition of the covariance matrix of the received signals which is the main computational burden in traditional subspace method.提出了一种基于传播算子的低复杂度二维波达方向估计新算法,该方法避免了常规子空间方法中占主要运算量的估计信号协方差矩阵及其高...
covarianceMatrixInverse=covMatDec.getSolver().getInverse();
Merged MAINT: stats.CovViaEigendecomposition: fix _LA attribute when covariance is singular #19199 tirthasheshpatel merged 1 commit into scipy:main from mdhaber:gh19197 Sep 22, 2023 +28 −1 Conversation 2 Commits 1 Checks 19 Files changed 2 ...
Matrices of analytic functions and polynomial matrices Polynomial matrix factorizations Preliminaries: Representing broadband signals Signal model Covariance matrices Comparison with other broadband signal representations STFT Polynomial matrix EVD 解析EVD 学习笔记 什么是PEVD? 什么是宽带和窄带? 什么是EVD? 数据压...
Yuntao Wu, Hui Cao and Hai Wang, "Fast Algorithm for DOA Estimation with Partial Covariance Matrix and without Eigen decomposition", Journal of Signal and Information Processing, 2011, 2, 266-269.J. Chen, Y Wu, H. Cao and H. Wang, "Fast Algorithm for DOA Estima tion with Partial ...
* @return Returns the BICValue of the Gaussian model that approximates the * the feature vectors data samples */ public static double getBICValue(Array2DRowRealMatrix mat) { double ret = 0; EigenDecomposition ed = new EigenDecomposition(new Covariance(mat).getCovarianceMatrix()); double[] re...
The error covariance matrix associated with the unbiased symbol estimate, ŝ(n), can be expressed as: ϕ _ ee = W _ = E { [ s _ ( n ) - D _ G - 1 M _ _ r ~ _ _ ( n ) ] [ s _ H ( n ) - r _ _ ~ H ( n ) ...
1) Eigen-decomposition of the covariance matrix 协方差矩阵特征值分解2) matrix eigenvalue decomposition 矩阵特征值分解 1. In this paper,an antenna selection algorithm to get maximum channel capacity based on matrix eigenvalue decomposition is proposed. 文中提出了一种基于矩阵特征值分解的天线选择...
The new method avoids the estimation and eigendecomposition of the covariance matrix of the received signals which is the main computational burden in traditional subspace method. 提出了一种基于传播算子的低复杂度二维波达方向估计新算法,该方法避免了常规子空间方法中占主要运算量的估计信号协方差矩阵及其高...