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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">bsuir</journal-id><journal-title-group><journal-title xml:lang="ru">Доклады БГУИР</journal-title><trans-title-group xml:lang="en"><trans-title>Doklady BGUIR</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-7648</issn><issn pub-type="epub">2708-0382</issn><publisher><publisher-name>БГУИР</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">bsuir-86</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>МНОГОКАНАЛЬНЫЙ ЧАСТОТНО-ВРЕМЕННОЙ АДАПТИВНЫЙ ФИЛЬТР НА ОСНОВЕ ДВОЙНОГО СМЕЖНО-ГРУППОВОГО ПРЕОБРАЗОВАНИЯ</article-title><trans-title-group xml:lang="en"><trans-title>MULTICHANNEL TIME-FREQUENCY ADAPTIVE FILTER BASED ON DOUBLE-CROSS-GROUP TRANSFORMATIONS</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ходыко</surname><given-names>Д. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Khodyko</surname><given-names>D. L.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Саломатин</surname><given-names>С. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Salomatin</surname><given-names>S. B.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Белорусский государственный университет информатики и радиоэлектроники</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2012</year></pub-date><pub-date pub-type="epub"><day>03</day><month>06</month><year>2019</year></pub-date><volume>0</volume><issue>6</issue><fpage>56</fpage><lpage>62</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ходыко Д.Л., Саломатин С.Б., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Ходыко Д.Л., Саломатин С.Б.</copyright-holder><copyright-holder xml:lang="en">Khodyko D.L., Salomatin S.B.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://doklady.bsuir.by/jour/article/view/86">https://doklady.bsuir.by/jour/article/view/86</self-uri><abstract><p>Рассматривается многоканальный частотно-временной адаптивный фильтр с быстрой сходимостью. Для снижения времени адаптации используется двойное смежно-групповое спектральное преобразование. Приведены сравнения предлагаемого фильтра с известным адаптивным фильтром.</p></abstract><trans-abstract xml:lang="en"><p>We consider a multi-channel time-frequency adaptive filter with fast convergence. To reduce the time used to adapt a dual-group adjacent spectral transform. The comparison of the proposed filter with a known adaptive filter is given.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>частотно-временной адаптивный фильтр</kwd><kwd>двойное спектральное преобразование</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Hayes M.H. Statistical Digital Signal Processing and Modeling. New York, 1996.</mixed-citation><mixed-citation xml:lang="en">Hayes M.H. Statistical Digital Signal Processing and Modeling. 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