Abstract: This paper presents a novel algorithm for computing the eigenvector associated with either the largest or the smallest eigenvalue of a complex Hermitian matrix. This type of algorithm is ...
Abstract: Since the space of covariance matrices forms a nonlinear manifold, conventional spatial smoothing techniques, which are formulated within Euclidean frameworks, are unable to fully exploit ...
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