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Computational and Numerical Properties of a Broadband Subspace-Based Likelihood Ratio Test
This paper investigates the performance of a likelihood ratio test in combination with a
polynomial subspace projection approach to detect weak transient signals in broadband …
polynomial subspace projection approach to detect weak transient signals in broadband …
[HTML][HTML] Polynomial eigenvalue decomposition for eigenvalues with unmajorised ground truth–Reconstructing analytic dinosaurs
When estimated space-time covariance matrices from finite data, any intersections of ground
truth eigenvalues will be obscured, and the exact eigenvalues become spectrally majorised …
truth eigenvalues will be obscured, and the exact eigenvalues become spectrally majorised …
Polynomial Matrix SVD via Generalized Sequential Matrix Diagonalisation
The singular value decomposition (SVD) of polynomial matrices plays a pivotal role in the
analysis and optimisation of broadband multi-input multi-output (MIMO) systems. In this …
analysis and optimisation of broadband multi-input multi-output (MIMO) systems. In this …