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Pisma v Zhurnal Tekhnicheskoi Fiziki, 2018, Volume 44, Issue 2, Pages 3–10
DOI: https://doi.org/10.21883/PJTF.2018.02.45458.16870 (Mi pjtf5901) 		 
Computing spectral characteristics from short signals and nonstationary processes

G. M. Shikhalova, O. N. Pavlovaa, A. N. Pavlovab

a Saratov State University
b Yuri Gagarin State Technical University of Saratov
Full-text PDF (106 kB)
DOI: https://doi.org/10.21883/PJTF.2018.02.45458.16870
Abstract: We propose a method of estimating spectral properties of a system from short signals and processes with varying characteristics, which is based on the wavelet-transform modulus-maxima method. It is shown that this approach allows significant reduction of the computing error as compared with the classical spectral analysis.
Funding agency Grant number
Russian Science Foundation 14-12-00224
Received: 16.05.2017
English version:
Technical Physics Letters, 2018, Volume 44, Issue 1, Pages 40–43
DOI: https://doi.org/10.1134/S1063785018010200
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: G. M. Shikhalov, O. N. Pavlova, A. N. Pavlov, “Computing spectral characteristics from short signals and nonstationary processes”, Pisma v Zhurnal Tekhnicheskoi Fiziki, 44:2 (2018), 3–10; Tech. Phys. Lett., 44:1 (2018), 40–43
Citation in format AMSBIB
\Bibitem{ShiPavPav18}
\by G.~M.~Shikhalov, O.~N.~Pavlova, A.~N.~Pavlov
\paper Computing spectral characteristics from short signals and nonstationary processes
\jour Pisma v Zhurnal Tekhnicheskoi Fiziki
\yr 2018
\vol 44
\issue 2
\pages 3--10
\mathnet{http://mi.mathnet.ru/pjtf5901}
\crossref{https://doi.org/10.21883/PJTF.2018.02.45458.16870}
\elib{https://elibrary.ru/item.asp?id=32737552}
\transl
\jour Tech. Phys. Lett.
\yr 2018
\vol 44
\issue 1
\pages 40--43
\crossref{https://doi.org/10.1134/S1063785018010200}
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