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Vestnik KRAUNC. Fiz.-Mat. Nauki, 2013, Number 2(7), Pages 68–73 (Mi vkam65)  

This article is cited in 3 scientific papers (total in 3 papers)

INFORMATION AND COMPUTATION TECHNOLOGIES

Methods for finding geoacoustic emission impulses based on sparse approximation and clusterization algorithms

A. A. Afanas'eva, O. O. Lukovenkova

Institute of Cosmophysical Researches and Radio Wave Propagation Far-Eastern Branch, Russian Academy of Sciences, 684034, Kamchatskiy Kray, Paratunka, Mirnaya st., 7, Russia

Abstract: The sparse approximation is a powerful instrument for time-and-frequency signal analysis. This publication outlines use of matching pursuit method for finding impulses in geoacoustic emission signals. Designed algorithm was tested on actual data.

Keywords: sparse approximation, geoacoustic emission, matching pursuit.

DOI: https://doi.org/10.18454/2079-6641-2013-7-2-68-73

Full text: PDF file (490 kB)
Full text: http://www.ikir.ru/.../article0010.html
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UDC: 519.622+519.633
MSC: 65L12
Received: 19.11.2013

Citation: A. A. Afanas'eva, O. O. Lukovenkova, “Methods for finding geoacoustic emission impulses based on sparse approximation and clusterization algorithms”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2013, no. 2(7), 68–73

Citation in format AMSBIB
\Bibitem{AfaLuk13}
\by A.~A.~Afanas'eva, O.~O.~Lukovenkova
\paper Methods for finding geoacoustic emission impulses based on sparse approximation and clusterization algorithms
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2013
\issue 2(7)
\pages 68--73
\mathnet{http://mi.mathnet.ru/vkam65}
\crossref{https://doi.org/10.18454/2079-6641-2013-7-2-68-73}
\elib{http://elibrary.ru/item.asp?id=21022820}


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    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles

    This publication is cited in the following articles:
    1. O. O. Lukovenkova, “Comparison of the sparse approximation methods based on its use to geoacoustic emission signals”, Bulletin KRASEC. Phys. & Math. Sci., 9:2 (2014), 70–78  mathnet  crossref  crossref  elib
    2. A. A. Kim, “The use of parallel programming methods for time-frequency analysis of geoacoustic emission signals”, Bulletin KRASEC. Phys. & Math. Sci., 9:2 (2014), 62–69  mathnet  crossref  crossref  elib
    3. O. O. Lukovenkova, “Denoising of geoacoustic emission signals from native and technogenic noises using the sparse approximation method”, Bulletin KRASEC. Phys. & Math. Sci., 11:2 (2015), 73–78  mathnet  crossref  crossref  elib
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