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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2021, Volume 61, Number 1, Pages 47–56
DOI: https://doi.org/10.31857/S0044466921010063 (Mi zvmmf11183) 		 
Optimal control

Choice of regularization parameter based on the regularized solution reconstruction in adaptive signal correction problem

M. L. Maslakov

Russian Institute of Power Radiobuilding
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DOI: https://doi.org/10.31857/S0044466921010063
Abstract: In this paper adaptive signal correction is considered as one of possible solutions to an inverse ill-posed problem. This problem is defined to an integral equation of the convolution type, and the regularization method is used to solve it. To select the regularization parameter, it is proposed to reconstruct the regularized solution. The results of numerical experiments are presented.
Key words: ill-posed problem, integral equation of convolution type, regularization, regularization parameter.
Received: 23.01.2020
Revised: 10.07.2020
Accepted: 18.09.2020
English version:
Computational Mathematics and Mathematical Physics, 2021, Volume 61, Issue 1, Pages 43–52
DOI: https://doi.org/10.1134/S0965542521010061
Bibliographic databases:
Document Type: Article
UDC: 519.642
Language: Russian
Citation: M. L. Maslakov, “Choice of regularization parameter based on the regularized solution reconstruction in adaptive signal correction problem”, Zh. Vychisl. Mat. Mat. Fiz., 61:1 (2021), 47–56; Comput. Math. Math. Phys., 61:1 (2021), 43–52
Citation in format AMSBIB
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    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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