Estimating the number of sinusoids and its performance analysis

DOI10.1080/00949659808811896zbMath1054.62506OpenAlexW1995442823MaRDI QIDQ4253290

Debasis Kundu

Publication date: 1998

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949659808811896

zbMATH Keywords

Monte Carlo simulationlaw of iterated logarithmstrong consistencysinusoidal signals

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

Estimating the number of components by a data independent penalty function approach ⋮ M-estimator-based robust estimation of the number of components of a superimposed sinusoidal signal model ⋮ Estimating the number of signals in the presence of white noise

Cites Work

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• Consistent estimates of super imposed exponential signals when some observations are missing
• TESTS OF SIGNIFICANCE FOR THE LATENT ROOTS OF COVARIANCE AND CORRELATION MATRICES
• 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

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