Asymptotic normality of sample covariance matrix for mixed spectra time series: Application to sinusoidal frequencies estimation - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Information Theory Année : 2001

Asymptotic normality of sample covariance matrix for mixed spectra time series: Application to sinusoidal frequencies estimation

Résumé

This correspondence addresses the asymptotic normal distribution of the sample mean and the sample covariance matrix of mixed spectra time series containing a sum of sinusoids and a moving average process. Two central limit theorems are proved. As an application of this result, the asymptotic normal distribution of any sinusoidal frequencies estimator of such time series based on second-order statistics is deduced.
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Dates et versions

hal-03399917 , version 1 (24-10-2021)

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  • HAL Id : hal-03399917 , version 1

Citer

Jean-Pierre Delmas. Asymptotic normality of sample covariance matrix for mixed spectra time series: Application to sinusoidal frequencies estimation. IEEE Transactions on Information Theory, 2001. ⟨hal-03399917⟩
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