An approach is proposed to the stable solution of discrete ill-posed problems on the basis of
a combination of random projection of the initial ill-conditioned matrix with an ill-defined …

Criteria are developed to determine the optimal number of components of a linear model in
solving a discrete ill-posed problem by the methods of truncated singular value …

Averaging over matrices in solving discrete ill-posed problems on the basis of random projection
Page 1 CSIT 2017, 05 – 08 September, 2017, Lviv, Ukraine 473 Averaging over matrices in …

This article analytically studies the dependence of components of the error of reconstructing
the true signal on the number of rows of a random projection matrix. It is shown that, with …

A brief overview of our work on the solution of DIP is presented. The stable solution of DIP
we obtained, by truncated singular value decomposition and by random projection methods …

How to Prepare a Paper for IWIM 2007 Page 1 A Model Selection Criterion for Solution of
Discrete Ill-Posed Problems Based on the Singular Value Decomposition Elena G. Revunova …

To solve discrete ill-posed problems by the random projection method, the error bias and
variance that arise from averaging over the random matrix realizations are studied. An …

The chapter reviews the methods of data processing aimed at improving the accuracy of
measurements in radiation monitoring systems. The accuracy of radionuclide activity …

In environmental radiation monitoring, the time-variable natural gamma radiation
background complicates the nuclide identification and analysis of a gamma spectrum. A full …

Запропоновано підхід до створення інтелектуальних інформаційних технологій на
основі моделювання мислення людини і розподіленого представлення інформації в …