Abstract
This paper considers issues related to the identification of the parameters and form of the probability density function of generally non-Gaussian additive and multiplicative noise affecting the signal. The results of numerical simulation of methods for estimating the information parameters of random processes with a non-Gaussian probability density function for a finite sample.
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Original Russian Text © V.M. Artyushenko, V.I. Volovach, 2017, published in Avtometriya, 2017, Vol. 53, No. 3, pp. 36–43.
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Artyushenko, V.M., Volovach, V.I. Identification of the distribution parameters of additive and multiplicative non-Gaussian noise. Optoelectron.Instrument.Proc. 53, 230–236 (2017). https://doi.org/10.3103/S8756699017030050
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DOI: https://doi.org/10.3103/S8756699017030050