10.14489/td.2014.12.pp.074-076

2014, 12 December

DOI: 10.14489/td.2014.12.pp.074-076

Avdeeva D.K., Vylegzhanin O.N., Turushev N.V., Grigoriev M.G.
EXTRACTION OF SIGNAL FORM IN PRESENCE OF RANDOM AND REGULAR HINDRANCE
(pp. 74-76)

Abstract. The task of signal form restoration in presence of random and regular hindrance was regarded. It was suggested to use principal com-ponent analysis for this aim. It was shown that signal form is determined by first left singular vector. If analyzed signal repeats in registered data sequence with some periodicity, it is possible to obtain from this sequence a set of segments, containing analyzed signal by singular spectrum analysis method. It was shown that in such way is possible to restore signal form in presence both random and regular noise. By mathematical modeling it was shown that signal form can be well restored by method in question with broad range random noise level and variance of correlation between analyzed signal and regular hindrance.

Keywords: signal analysis, random and regular hindrance, signal form restoring, principal component analysis.

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D. K. Avdeeva, O. N. Vylegzhanin, N. V. Turushev, M. G. Grigoriev
National Research Tomsk Polytechnic University, Tomsk, Russia. E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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DOI: 10.14489/td.2014.12.pp.074-076

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