Asymptotic properties of the least sqares estimators of the parameters of the chirp signals

DOI10.1007/BF02530540zbMath1057.62002MaRDI QIDQ1768099

Debasis Kundu, Swagata Nandi

Publication date: 14 March 2005

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

zbMATH Keywords

consistent estimators

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Asymptotic distribution theory in statistics (62E20) Statistical aspects of information-theoretic topics (62B10)

Related Items (12)

Estimation of the parameters of a chirp type model with stationary residuals ⋮ On approximate least squares estimators of parameters of one-dimensional chirp signal ⋮ Estimation of parameters of two-dimensional random amplitude chirp signal in additive noise ⋮ On weighted least squares estimators of parameters of a chirp model ⋮ A computationally efficient algorithm to estimate the parameters of a two-dimensional chirp model with the product term ⋮ Efficient algorithm for estimating the parameters of a chirp signal ⋮ Asymptotic properties of least squares estimators and sequential least squares estimators of a chirp-like signal model parameters ⋮ On a chirp-like model and its parameter estimation using periodogram-type estimators ⋮ On least absolute deviation estimators for one-dimensional chirp model ⋮ On chirp and some related signals analysis: a brief review and some new results ⋮ A computationally efficient iterative algorithm for estimating the parameter of chirp signal model ⋮ Estimating the parameters of multiple chirp signals

Cites Work

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• Asymptotic theory of nonlinear least squares estimation
• Estimation of chirp radar signals in compound-Gaussian clutter: a cyclostationary approach
• Asymptotic properties of the complex valued non-linear regression model
• A Note on the Consistency of the Undamped Exponential Signals Model
• Asymptotic Properties of Non-Linear Least Squares Estimators
• Linear Statistical Inference and its Applications

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