Approximate least squares estimators of a two-dimensional chirp model

DOI10.1016/j.jmva.2022.105045OpenAlexW4281944256WikidataQ114013868 ScholiaQ114013868MaRDI QIDQ2079600

Amit Mitra, Rhythm Grover, Abhinek Shukla, Debasis Kundu

Publication date: 30 September 2022

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2022.105045

zbMATH Keywords

genetic algorithmlarge-sample propertiesstationary linear processapproximate least squares2-D chirp modelhigh order ambiguity functionperidogram-type function

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12)

Uses Software

• GA

Cites Work

• Unnamed Item
• Genetic algorithm and M-estimator based robust sequential estimation of parameters of nonlinear sinusoidal signals
• Parameter estimation of 2-D cubic phase signal using cubic phase function with genetic algorithm
• Approximate least squares estimators of a two-dimensional chirp model and their asymptotic properties
• Estimating the parameters of multiple chirp signals
• Parameter estimation of 2-D random amplitude polynomial-phase signals
• On frequency estimation
• Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets
• On Parameter Estimation of Two Dimensional Polynomial Phase Signal Model
• Parameter Estimation of Multicomponent 2D Polynomial-Phase Signals Using the 2D PHAF-Based Approach
• A Simplex Method for Function Minimization

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