Using a stochastic basis in signal and image recovery problems
- Авторлар: Batishchev V.I.1, Volkov I.I.1, Zolin A.G.1
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Мекемелер:
- Samara State Technical University
- Шығарылым: Том 53, № 4 (2017)
- Беттер: 414-420
- Бөлім: 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
Дәйексөз келтіру
Аннотация
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.
Авторлар туралы
V. Batishchev
Samara State Technical University
Хат алмасуға жауапты Автор.
Email: datatech@samgtu.ru
Ресей, ul. Molodogvardeiskaya 244, Samara, 443100
I. Volkov
Samara State Technical University
Email: datatech@samgtu.ru
Ресей, ul. Molodogvardeiskaya 244, Samara, 443100
A. Zolin
Samara State Technical University
Email: datatech@samgtu.ru
Ресей, ul. Molodogvardeiskaya 244, Samara, 443100
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