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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Discrete and Continuous Models and Applied Computational Science</journal-id><journal-title-group><journal-title xml:lang="en">Discrete and Continuous Models and Applied Computational Science</journal-title><trans-title-group xml:lang="ru"><trans-title>Discrete and Continuous Models and Applied Computational Science</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2658-4670</issn><issn publication-format="electronic">2658-7149</issn><publisher><publisher-name xml:lang="en">Peoples' Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">8520</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject></subject></subj-group></article-categories><title-group><article-title xml:lang="en">Methods to Reveal Hidden Structures of Signals and their Applications</article-title><trans-title-group xml:lang="ru"><trans-title>Методы выявления структуры скрытых сигналов и их применение</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Belashev</surname><given-names>B Z</given-names></name><name xml:lang="ru"><surname>Белашев</surname><given-names>Борис Залманович</given-names></name></name-alternatives><bio xml:lang="en">Institute of Geology Karelian Research Center of RAS</bio><bio xml:lang="ru">Карельский научный центр; Институт геологии Российской академии наук</bio><email>belashev@krc.karelia.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Geology Karelian Research Center of RAS</institution></aff><aff><institution xml:lang="ru">Институт геологии Российской академии наук</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2010-03-02" publication-format="electronic"><day>02</day><month>03</month><year>2010</year></pub-date><issue>3.2</issue><issue-title xml:lang="en">NO3.2 (2010)</issue-title><issue-title xml:lang="ru">№3.2 (2010)</issue-title><fpage>132</fpage><lpage>135</lpage><history><date date-type="received" iso-8601-date="2016-09-08"><day>08</day><month>09</month><year>2016</year></date></history><permissions><copyright-statement xml:lang="ru">Copyright ©; 2010, Белашев Б.З.</copyright-statement><copyright-year>2010</copyright-year><copyright-holder xml:lang="ru">Белашев Б.З.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/miph/article/view/8520">https://journals.rudn.ru/miph/article/view/8520</self-uri><abstract xml:lang="en">As the result of the application of the maximum entropy method for reveal the structure of blurred spectra new information about characteristics of materials had been obtained. The methods based on the account of the signal entropy and the wavelet transformation had been developed to seismic signals treatment and to determ the processes bifurcation points.</abstract><trans-abstract xml:lang="ru">В результате применения метода максимума энтропии для выявления структуры размытых спектров была получена новая информация о свойствах материалов. Методы, основанные на учете энтропии сигналов и вейвлет-преобразовании, применены для обработки сейсмических сигналов и определения точек бифуркации сигналов.</trans-abstract><kwd-group xml:lang="en"><kwd>entropy</kwd><kwd>wavelet</kwd><kwd>blurred spectra</kwd><kwd>seismic waves</kwd><kwd>georadar</kwd><kwd>bifurcation points</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>энтропия</kwd><kwd>вейвлет</kwd><kwd>стертые спектры</kwd><kwd>сейсмические волны</kwd><kwd>георадар</kwd><kwd>точки бифуркации</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Belashev B. Z. Methods for Reconstruction of a Blurred Spectrum // Journal of Applied Spectroscopy. - 2001. - Vol. 68, No 5. - Pp. 838-846.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Belashev B. Z., Ekimova I. A., Nilov I. I. Increasing the Resolution of Geophysical Data with Wavelets // Proceedings of the 14th International conference Connection between the surface and deep structures of the Earths crust, 27-31 October, 2008, Petrozavodsk, Part 1. - 2008. - P. 54. - In russian.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Kozhukhov S. A., Belashev B. Z., Savitsky A. I. Methodical Aspects of Radon Monitoring of Karelia // Proceedings of the 14th International Conference Connection between the surface and deep structures of the Earths crust, 27-31 October, 2008, Petrozavodsk, Part 1. - 2008. - Pp. 272-274. - In russian.</mixed-citation></ref></ref-list></back></article>
