Advances in Signal Processing Vol. 1(1), pp. 1 - 4
DOI: 10.13189/asp.2013.010101
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Signal Processing with Regularized Multistep Support Vector Method


Valery R. Fazylov, Nathalie K. Shcherbakova*
Department of Computer Science, Kazan State University, Kremlevskay, 18, Kazan, Tatarstan, 420080, Russian Federation

ABSTRACT

A new method is proposed for processing the signal distorted by random noise. The processing model is based on a statistical regularization method, and the obtained system of linear equations and inequalities is solved using a multistep support vector method. An advantage of this approach is that the iterative nature of the algorithm makes it possible to take into account the a priori information on the solution represented by the inequalities. The results of numerical experiments showing the efficiency of the algorithm are given.

KEYWORDS
Statistical Regularization Method, Ill-posed Problem, Multistep Support Vector Method

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Valery R. Fazylov , Nathalie K. Shcherbakova , "Signal Processing with Regularized Multistep Support Vector Method," Advances in Signal Processing, Vol. 1, No. 1, pp. 1 - 4, 2013. DOI: 10.13189/asp.2013.010101.

(b). APA Format:
Valery R. Fazylov , Nathalie K. Shcherbakova (2013). Signal Processing with Regularized Multistep Support Vector Method. Advances in Signal Processing, 1(1), 1 - 4. DOI: 10.13189/asp.2013.010101.