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:  119
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:  2026
:   .. // . - 2026. - . 119. - .138-159.
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(.):  anisotropy-based theory, mean anisotropy, discrete systems, 2D systems, shaping filter
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(.):  A linear two-dimensional discrete stationary system describing repetitive processes on an integer lattice is studied in the framework of anisotropy-based theory. Systems, whose dynamics depend on two independent variables with a spatiotemporal character, are widely used for process modeling. The relevance of this work is determined by the need to develop robust methods of analysis and synthesis for multidimensional systems. Anisotropy-based theory offers an alternative approach to models operating under conditions of stochastic perturbations with a complex internal structure. It characterizes perturbations through a single measure of their structurality, which makes it possible to generalize and expand the formulation of optimization problems of robust control. An important theoretical result is to obtain a complete description of the shaping filter in the frequency and time domains. It is shown that the value of the mean anisotropy in the two-dimensional case is additively decomposed into two components: the anisotropy of the extended state vector and the mutual information between the output vector and its background. Formulas and auxiliary relations are presented for a sequence of random vectors, which make it possible to calculate it. The methodology is based on the application of a special transformation vectorization within a single profile and the use of fundamental mathematical tools, including the Kolmogorov Sege formula, as well as the Lyapunov and Riccati equations. A numerical example of calculating the mean anisotropy of a sequence is given, and its dependence on the parameter of the pass length of the system is analyzed. For the clarity, the results of calculations are demonstrated.

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