Choice of Regularization Parameter in Adaptive Filtering Problems

被引：2

作者：

Maslakov, M. L. ^{[1
]}

机构：

[1] JSC Russian Inst Power Radioengn, St Petersburg 199178, Russia

来源：

COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS | 2019年 / 59卷 / 06期

关键词：

convolution-type equation; ill-posed problem; regularization method; regularization parameter;

D O I：

10.1134/S0965542519060101

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页码：894 / 903

页数：10

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