Noise space decomposition method for two-dimensional sinusoidal model

DOI10.1016/j.csda.2011.03.002zbMath1365.62363OpenAlexW2133042805MaRDI QIDQ2361192

Swagata Nandi, Rajesh K. Srivastava, Debasis Kundu

Publication date: 30 June 2017

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

Full work available at URL: https://doi.org/10.1016/j.csda.2011.03.002

zbMATH Keywords

Monte Carlo simulationstrong consistencysinusoidal modelProny's algorithmsymmetric texture

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Random fields; image analysis (62M40) Point estimation (62F10) Strong limit theorems (60F15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (7)

Editorial: The third special issue on statistical signal extraction and filtering ⋮ The asymptotic normality for the least squares estimator of parameters in a two dimensional sinusoidal model of observations ⋮ Noise subspace approach for frequency estimation of two-dimensional harmonics in zero-mean multiplicative and additive noise ⋮ Asymptotic properties of periodogram estimators in the trigonometric model for observations on the plane ⋮ Consistency of the least squares estimators of parameters in the texture surface sinusoidal model ⋮ Generalised signed-rank estimation for nonlinear models with multidimensional indices ⋮ On the least squares estimator asymptotic normality of the multivariate symmetric textured surface parameters

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