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Estimating the Number of Signals of the Damped Exponential Models
PENNSYLVANIA STATE UNIV UNIVERSITY PARK CENTER FOR MULTIVARIATE ANALYSIS
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In this paper we consider the problem of estimating the number of signals of the damped exponential models. We use different information theoretic criteria to detect the number of signals and compare their small sample performances by Monte Carlo simulations study.
APPROVED FOR PUBLIC RELEASE