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

Authors
Citation
Jp. Delmas, Asymptotic normality of sample covariance matrix for mixed spectra time series: Application to sinusoidal frequencies estimation, IEEE INFO T, 47(4), 2001, pp. 1681-1687
Citations number
15
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
IEEE TRANSACTIONS ON INFORMATION THEORY
ISSN journal
00189448 → ACNP
Volume
47
Issue
4
Year of publication
2001
Pages
1681 - 1687
Database
ISI
SICI code
0018-9448(200105)47:4<1681:ANOSCM>2.0.ZU;2-P
Abstract
This correspondence addresses the asymptotic normal distribution of the sam ple mean and the sample covariance matrix of mixed spectra time series cont aining a sum of sinusoids and a moving average (MA) process. Two central li mit (CL) theorems are proved. As an application of this result, the asympto tic normal distribution of any sinusoidal frequencies estimator of such tim e series based on second-order statistics is deduced.