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eess.SP2024
Deterministic Equivalent of the Log-Euclidean Distance between Sample Covariance Matrices
Xavier Mestre, Roberto Pereira
Log-Euclidean distances are commonly used to quantify the similarity between positive definite matrices using geometric considerations. This paper analyzes the behavior of this dis…
eess.SP2024
Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics
Roberto Pereira, Xavier Mestre
This work explores the clustering of wireless users by examining the distances between their channel covariance matrices, which reside on the Riemannian manifold of positive defini…