Using a stochastic basis in signal and image recovery problems


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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.

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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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