Email this article Choice of Regularization Parameter in Adaptive Filtering Problems
- Authors: Maslakov M.L.1
-
Affiliations:
- JSC “Russian Institute for Power Radioengineering”
- Issue: Vol 59, No 6 (2019)
- Pages: 894-903
- Section: Article
- URL: https://journals.rcsi.science/0965-5425/article/view/180617
- DOI: https://doi.org/10.1134/S0965542519060101
- ID: 180617
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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.
About the authors
M. L. Maslakov
JSC “Russian Institute for Power Radioengineering”
Author for correspondence.
Email: maslakovml@gmail.com
Russian Federation, St. Petersburg, 199178
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