Choice of Regularization Parameter in Adaptive Filtering Problems


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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.

作者简介

M. Maslakov

JSC “Russian Institute for Power Radioengineering”

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Email: maslakovml@gmail.com
俄罗斯联邦, St. Petersburg, 199178

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