Choice of a 2-D causal autoregressive texture model using information criteria
Pattern Recognition Letters
Automation and Remote Control
Identification of a spatial autoregression by rank methods
Automation and Remote Control
Moving target feature extraction for airborne high-range resolutionphased-array radar
IEEE Transactions on Signal Processing
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Asymptotic normalcy of the generalized M-estimates was established for the process of spatial autoregression of the order (1, 1). The generalized M-estimates were compared with the classical M-estimates and least-squares estimates using computer-aided modeling.