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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
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
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
Linking options:
https://www.mathnet.ru/eng/zvmmf10906 https://www.mathnet.ru/eng/zvmmf/v59/i6/p951
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Abstract page: | 176 | References: | 9 |
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