Using a stochastic basis in signal and image recovery problems
- 作者: Batishchev V.I.1, Volkov I.I.1, Zolin A.G.1
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隶属关系:
- Samara State Technical University
- 期: 卷 53, 编号 4 (2017)
- 页面: 414-420
- 栏目: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212212
- DOI: https://doi.org/10.3103/S875669901704015X
- ID: 212212
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详细
This paper touches upon the problems of constructing a basis for stochastic functions, which represent samples of random numbers with a given distribution law. The algorithm for constructing an approximation model with the use of this basis is described. The general algorithm for signal recovery using the stochastic basis by the least squares method with a given weight function is given. The approach to solving the problem of recovery of blurred images with a known point scattering function by constructing an inverse filter model is proposed.
作者简介
V. Batishchev
Samara State Technical University
编辑信件的主要联系方式.
Email: datatech@samgtu.ru
俄罗斯联邦, ul. Molodogvardeiskaya 244, Samara, 443100
I. Volkov
Samara State Technical University
Email: datatech@samgtu.ru
俄罗斯联邦, ul. Molodogvardeiskaya 244, Samara, 443100
A. Zolin
Samara State Technical University
Email: datatech@samgtu.ru
俄罗斯联邦, ul. Molodogvardeiskaya 244, Samara, 443100
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