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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">vestifm</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Национальной академии наук Беларуси. Серия физико-математических наук</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1561-2430</issn><issn pub-type="epub">2524-2415</issn><publisher><publisher-name>The Republican Unitary Enterprise Publishing House "Belaruskaya Navuka"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.29235/1561-2430-2026-62-1-59-72</article-id><article-id custom-type="elpub" pub-id-type="custom">vestifm-876</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>ФИЗИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PHYSICS</subject></subj-group></article-categories><title-group><article-title>Структурный подход к решению томографической задачи адаптивной оптики: реконструкция турбулентности в объеме</article-title><trans-title-group xml:lang="en"><trans-title>Structural approach to the Adaptive Optics tomography problem: the volume turbulence reconstruction</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9215-3570</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Петров</surname><given-names>П. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Piatrou</surname><given-names>P. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Петров Петр Казимирович – кандидат физико-математических наук, ведущий научный сотрудник</p><p>пр. Независимости, 68-2, 220072, Минск</p></bio><bio xml:lang="en"><p>Piotr K. Piatrou – Ph. D. (Physics and Mathematics), Leading Researcher</p><p>68-2, Nezavisimosti Ave., 220072, Minsk</p></bio><email xlink:type="simple">p.piatrou@dragon.bas-net.by</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт физики имени Б. И. Степанова Национальной академии наук Беларуси</institution><country>Беларусь</country></aff><aff xml:lang="en"><institution>B. I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus</institution><country>Belarus</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>31</day><month>03</month><year>2026</year></pub-date><volume>62</volume><issue>1</issue><fpage>59</fpage><lpage>72</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Петров П.К., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Петров П.К.</copyright-holder><copyright-holder xml:lang="en">Piatrou P.K.</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://vestifm.belnauka.by/jour/article/view/876">https://vestifm.belnauka.by/jour/article/view/876</self-uri><abstract><p>Адаптивная оптика как относительно новое направление развития современных оптических систем позволяет корректировать искажения, связанные с распространением света в турбулентной атмосфере и получать изображения дифракционного качества. Поскольку это требует компьютерной обработки больших потоков информации в реальном времени, ключевой проблемой является снижение вычислительной сложности соответствующих математических алгоритмов. В статье предложен подход, учитывающий структурные свойства как атмосферной турбулентности, так и самой активной оптической системы. Продемонстрирована возможность одновременного учета разреженной и сверточной (теплицевой) структуры адаптивной коррекции в одном алгоритме. Дан анализ многосопряженной адаптивной оптической системы и сравнение естественной сложности алгоритма, индуцированного его структурой, со сложностью разреженного алгоритма. Показано применение структурного подхода к достаточно трудоемкому алгоритму томографической объемной реконструкции турбулентной фазы с получением благодаря этому существенного ускорения вычислений.</p></abstract><trans-abstract xml:lang="en"><p>Adaptive Optics as a relatively new trend in the modern optical systems allows correcting the perturbations related to light propagation in the turbulent atmosphere obtaining the diffraction-limited images. Because it requires computer processing of large information flow in real time, a key problem lays in finding the mathematical algorithms with reduced computational complexity. The paper proposes the approach, which takes into account structural properties of both atmospheric turbulence and the most active optical system. The possibility was demonstrated of one-dimensional accounting of sparse and convolution-like (Toeplitz) structure of adaptive correction in one algorithm. The analysis is made of Multi-Conjucate Adaptive Optics and the comparison was conducted of the nature complexity of the algorithm induced by this strucute with the complexity of sparse algorithm. It was demonstrated how the structural approach can be applied to the quite laborious tomographic turbulence volume reconstruction phase with obtaining due to this a significant computational speed-up.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>многосопряженная адаптивная оптика</kwd><kwd>томографическое фазовое восстановление</kwd><kwd>структурированные матрицы</kwd><kwd>обработка сигналов в реальном времени</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Multi-Conjugate Adaptive Optics</kwd><kwd>tomographic phase reconstruction</kwd><kwd>structured matrices</kwd><kwd>real-time signal processing</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">Trunk G. V. 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