Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/15877
Title: Nonlinear filtration of quasi-gaussian signals
Authors: Malofey, A. O.
Малофей, А. О.
Malofey, O. P.
Малофей, О. П.
Golimblevskaia, E. I.
Голимблевская, Е. И.
Kucherov, N. N.
Кучеров, Н. Н.
Keywords: Nonlinear filtration;Semicontinuous signals;Likelihood function;Mean square error
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Malofey A., Malofey O., Golimblevskaia E., Kucherov N.N., Rassomahin S. Nonlinear filtration of quasi-gaussian signals // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - Pages 1637 - 1640
Series/Report no.: Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
Abstract: The definition of quasi-Gaussian signals as one class of semicontinuous processes is given. On the basis of a nonlinear optimization problem and the method of variation calculus, the transient response of a nonlinear filter-discriminator is determined, which performs the functions of selective filtering and evaluating the signal value. The advantages of the obtained result in terms of the mean square error in comparison with the known filtering methods are shown
URI: http://hdl.handle.net/20.500.12258/15877
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