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Choice of Regularization Parameter Based on the Regularized Solution Reconstruction in Adaptive Signal Correction Problem
Computational Mathematics and Mathematical Physics ( IF 0.7 ) Pub Date : 2021-02-28 , DOI: 10.1134/s0965542521010061
M. L. Maslakov

Abstract

In this paper adaptive signal correction is considered as one of possible solutions to an inverse ill-posed problem. This problem is defined to an integral equation of the convolution type, and the regularization method is used to solve it. To select the regularization parameter, it is proposed to reconstruct the regularized solution. The results of numerical experiments are presented.



中文翻译:

基于正则化解重构的自适应信号校正问题中正则化参数的选择

摘要

在本文中,自适应信号校正被认为是逆不适定问题的可能解决方案之一。将这个问题定义为卷积型积分方程,并使用正则化方法对其进行求解。为了选择正则化参数,提出了重构正则解的方法。给出了数值实验的结果。

更新日期:2021-03-01
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