样本时空协方差矩阵估计

Connor Delaosa, J. Pestana, N. Goddard, S. Somasundaram, Stephan Weiss
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引用次数: 13

摘要

在计算样本空时协方差矩阵时会产生估计误差。我们在有限样本集上计算了该估计量的方差,将其与已知结果进行了比较,并在模拟中证明了其精度。当从有限数据估计时,估计的方差直接与先前探索的parparhertian交叉谱密度矩阵的解析特征值和特征空间的扰动联系在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sample Space-time Covariance Matrix Estimation
Estimation errors are incurred when calculating the sample space-time covariance matrix. We formulate the variance of this estimator when operating on a finite sample set, compare it to known results, and demonstrate its precision in simulations. The variance of the estimation links directly to previously explored perturbation of the analytic eigenvalues and eigenspaces of a parahermitian cross-spectral density matrix when estimated from finite data.
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