Model of Random Field with Piece-Constant Values and Sampling-Restoration Algorithm of Its Realizations.
作者： Yuri Goritskiy , Vladimir Kazakov , Olga Shevchenko , Francisco Mendoza
DOI: 10.3390/E21080792
关键词:
摘要: We propose a description of the model random piecewise constant field formed by sum realizations two Markov processes with an arbitrary number states and defined along mutually perpendicular axes. The quantization levels can be arbitrary. Realizations desired shape are created appropriate selection parameters for formative realization processes. For proposed model, we investigated sampling restoration algorithm any selected realizations. As result, determined optimal recovery algorithms. resulting is fundamentally non-periodic. Recovery errors calculated. Two examples considered.
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