Abstract: A necessary and sufficient condition for a stationary random field to be described by a finite quarter-plane autoregressive model is derived.
A Complete Spectral Characterization of Quarter-Plane Autoregressive Models. January 1986 · IEEE Transactions on Acoustics Speech and Signal Processing.
We propose an autoregressive nonparametric spectral density estimate that is guaranteed positive even when suitable edge-effect correction is employed.
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A Complete Spectral Characterization Of Quarter-Plane Autoregressive Models, T-ASSP(33), 1985, pp. 1617-1619. BibRef · Falconer, K.J., The Geometry Of Fractal ...
A Complete Spectral Characterization of Quarter-Plane Autoregressive Models ....................................... W . M . Lawton. A Note on Estimation with ...
The advantages of autoregressive (AR) modelling over the classical Fourier transform methods have been centre staged in previous years.
A complete spectral characterization of quarter-plane autoregressive models · W. Lawton 1• Institutions (1). California Institute of Technology 1. 30 Nov 1985 ...
The fourth edition follows the general layout of the third edition but includes some modernization of topics as well as the coverage of additional topics.
Lattice parameter autoregressive modeling of two-dimensional fields--Part I: The quarter-plane case.
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The largest portion of research effort on rational transfer function modeling has therefore been con- cerned with the AR model. E. Autoregressive PSD Estimation.