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Article Dans Une Revue IEEE Transactions on Signal Processing Année : 1999

On Adaptive EVD Asymptotic Distribution of Centro-Symmetric Covariance Matrices

Résumé

This correspondence investigates the gain in statistical performance/complexity of the adaptive estimation of the eigenvalue decomposition (EVD) of covariance matrices when the centrosymmetric (CS) structure of such matrices is utilized. After deriving the asymptotic distribution of the EVD estimators, it is shown, in particular, that the closed-form expressions for the asymptotic covariance of batch and adaptive EVD estimators are very similar, provided that the number of samples is replaced by the inverse of the step size.
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hal-03435742 , version 1 (18-11-2021)

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Jean-Pierre Delmas. On Adaptive EVD Asymptotic Distribution of Centro-Symmetric Covariance Matrices. IEEE Transactions on Signal Processing, 1999. ⟨hal-03435742⟩
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