The proposed method is the two-dimensional extension of the one-dimensional noise space decomposition method. It provides consistent estimators of the unknown ...
In this paper, we develop a non iterative procedure to estimate the unknown frequencies of model (1) extending the one-dimensional (1-D) noise space ...
Jun 10, 2010 · The proposed method is the two dimensional extension of the one dimensional noise space decomposition method. The proposed methods provide ...
An efficient and fast algorithm for estimating the parameters of two-dimensional sinusoidal signals · Modeling and Estimation of Symmetric Color Textures.
(PDF) Noise space decomposition method for two-dimensional ...
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The LS methods are more accurate and actually optimum for Gaussian noise, and thus, more appropriate for high quality estimations. In addition, LS methods prove ...
Noise Space Decomposition method for two dimensional sinusoidal model. Article. Full-text available. Feb 2013; COMPUT STAT DATA AN. Swagata Nandi ...
Nandi, D. Kundu, and R. K. Srivastava, Noise space decomposition method for two-dimensional sinusoidal model, Comp. Statist. Data Anal. 58 (2013), 147–161 ...
Abstract—This paper considers the problem of estimating the parameters of real-valued two-dimensional (2-D) sinusoidal sig- nals observed in colored noise.
In this paper, the problem of identifying the parameters of. 2D complex sinusoids from noisy measurements is based on a state–space frequency domain approach.
In this paper we propose a computationally efficient algorithm to estimate the parameters of a 2-D sinusoidal model in the presence of stationary noise.