Use of moment quality criterion for synthesis polynomial algorithms signal detection on background additive and multiplicative non-Gaussian nose
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Abstract
The models and methods for processing of random variables for the synthesis and analysis of polynomial algorithms signal detection on background additive-multiplicative non-Gaussian noise at the moment-cumulant description of random processes are developed. It is shown that the nonlinear processing sample values and taking into account the parameters of non-Gaussian distribution of random variables can improve the efficiency of decision rules.
Reference 10, figures 2.
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