Using a stochastic basis in signal and image recovery problems
- Авторы: Batishchev V.I.1, Volkov I.I.1, Zolin A.G.1
-
Учреждения:
- Samara State Technical University
- Выпуск: Том 53, № 4 (2017)
- Страницы: 414-420
- Раздел: 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
Цитировать
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.
Об авторах
V. Batishchev
Samara State Technical University
Автор, ответственный за переписку.
Email: datatech@samgtu.ru
Россия, ul. Molodogvardeiskaya 244, Samara, 443100
I. Volkov
Samara State Technical University
Email: datatech@samgtu.ru
Россия, ul. Molodogvardeiskaya 244, Samara, 443100
A. Zolin
Samara State Technical University
Email: datatech@samgtu.ru
Россия, ul. Molodogvardeiskaya 244, Samara, 443100
Дополнительные файлы
