Estimating the number of signals of the damped exponential models.

DOI10.1016/S0167-9473(00)00036-0zbMath1080.94511MaRDI QIDQ5941002

Amit Mitra, Debasis Kundu

Publication date: 20 August 2001

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Damped Exponential SignalsInformation Theoretic CriteriaMonte Carlo Simulations

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Statistical aspects of information-theoretic topics (62B10)

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Cites Work

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• Estimating the parameters of exponentially damped/undamped sinusoids in noise: A non-iterative approach
• A universal prior for integers and estimation by minimum description length
• Modeling by shortest data description
• A Bayesian analysis of the minimum AIC procedure
• Asymptotic theory of nonlinear least squares estimation
• Estimating the dimension of a model
• On detection of the number of signals in presence of white noise
• On detection of the number of signals when the noise covariance matrix is arbitrary
• Accurate frequency estimation at low signal-to-noise ratio
• MUSIC, maximum likelihood, and Cramer-Rao bound
• Maximum likelihood parameter estimation of superimposed signals by dynamic programming
• SVD-based information theoretic criteria for detection of the number of damped/undamped sinusoids and their performance analysis
• Estimating the number of sinusoids in additive white noise
• A new look at the statistical model identification