Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Numerical recipes in FORTRAN (2nd ed.): the art of scientific computing
Estimating the parameters of complex-valued exponential signals
Computational Statistics & Data Analysis
Asymptotic properties of the least squares estimates of 2-D exponential signals
Multidimensional Systems and Signal Processing
Frequency estimation of undamped exponential signals using genetic algorithms
Computational Statistics & Data Analysis
A unified texture model based on a 2-D Wold-like decomposition
IEEE Transactions on Signal Processing
Estimating two-dimensional frequencies by matrix enhancement andmatrix pencil
IEEE Transactions on Signal Processing
A two-dimensional Prony's method for spectral estimation
IEEE Transactions on Signal Processing
Two-dimensional harmonic retrieval and its time-domain analysis technique
IEEE Transactions on Information Theory
Editorial: The third special issue on Statistical Signal Extraction and Filtering
Computational Statistics & Data Analysis
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The estimation of the parameters of the two-dimensional sinusoidal signal model has been addressed. The proposed method is the two-dimensional extension of the one-dimensional noise space decomposition method. It provides consistent estimators of the unknown parameters and they are non-iterative in nature. Two pairing algorithms, which help in identifying the frequency pairs have been proposed. It is observed that the mean squared errors of the proposed estimators are quite close to the asymptotic variance of the least squares estimators. For illustrative purposes two data sets have been analyzed, and it is observed that the proposed model and the method work quite well for analyzing real symmetric textures.