The Simultaneous Estimation of the Number of Signals and Frequencies of Multiple Sinusoids When Some Observations Are Missing: I. Asymptotics

The problem of simultaneous estimation of the number of signals and frequencies of multiple sinusoids is considered in the case when some observations are missing. The number of signals is estimated with an information theoretic criterion, and the frequencies are estimated with eigen-variation linea...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 1999-09, Vol.96 (20), p.11106-11110
Hauptverfasser: Bai, Z, Rao, C R, Wu, Y, Zen, M M, Zhao, L
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container_issue 20
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container_title Proceedings of the National Academy of Sciences - PNAS
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creator Bai, Z
Rao, C R
Wu, Y
Zen, M M
Zhao, L
description The problem of simultaneous estimation of the number of signals and frequencies of multiple sinusoids is considered in the case when some observations are missing. The number of signals is estimated with an information theoretic criterion, and the frequencies are estimated with eigen-variation linear prediction. The strong consistency of the estimates of the number of signals and the frequencies is established and the rate of convergence of these estimates is provided. Besides, the limiting distributions of various estimates are given.
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subjects Consistent estimators
Eigenvalues
Estimators
Perceptron convergence procedure
Physical Sciences
Random variables
Real numbers
title The Simultaneous Estimation of the Number of Signals and Frequencies of Multiple Sinusoids When Some Observations Are Missing: I. Asymptotics
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