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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2019, Volume 59, Number 6, Pages 951–960
DOI: https://doi.org/10.1134/S0044466919060103 (Mi zvmmf10906) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Choice of regularization parameter in adaptive filtering problems

M. L. Maslakov

JSC "Russian Institute for Power Radioengineering", St. Petersburg, 199178 Russia
Citations (3)
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DOI: https://doi.org/10.1134/S0044466919060103
Abstract: The paper proposes a new method for choosing a regularization parameter when solving an integral equation of convolution type in problems of adaptive filtering. This method is based on minimizing the deviation of the phase values. The results of numerical modeling of the proposed method for solving convolution integral equations by Tikhonov's regularization method are presented.
Key words: convolution-type equation, ill-posed problem, regularization method, regularization parameter.
Received: 05.04.2018
Revised: 18.08.2018
Accepted: 08.02.2019
English version:
Computational Mathematics and Mathematical Physics, 2019, Volume 59, Issue 6, Pages 894–903
DOI: https://doi.org/10.1134/S0965542519060101
Bibliographic databases:
Document Type: Article
UDC: 519.642
Language: Russian
Citation: M. L. Maslakov, “Choice of regularization parameter in adaptive filtering problems”, Zh. Vychisl. Mat. Mat. Fiz., 59:6 (2019), 951–960; Comput. Math. Math. Phys., 59:6 (2019), 894–903
Citation in format AMSBIB
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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    References:9
     
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