Upper estimation boundary for absolute maximum distribution for a process represented by Markovian sequences
DOI:
https://doi.org/10.3103/S0735272711120041Keywords:
theory of analysis, a priori vagueness, equalization of Fokker–Plank–Kolmogorov, absolute errorAbstract
Analysis of optimal algorithms for processing signals with prior ambiguity with respect to their parameters that deals with absolute maximum distribution of Markovian process is conducted. Since real algorithms are discrete, during analysis we have to deal with representation of a random process by Markovian sequences. This introduces error into probability calculations, the upper boundary of which is determined for solving some applied problems of statistical radio engineering.
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