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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd">
<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2016-1-3-10-15</article-id><article-id pub-id-type="publisher-id">778</article-id><article-categories><subj-group subj-group-type="heading"><subject>COMPUTER SIMULATION</subject></subj-group></article-categories><title-group><article-title>MODELING N-DIMENSIONAL PROBABILITY DENSITY OF THE COSINE OF PHASE DIFFERENCE</article-title><trans-title-group xml:lang="en"><trans-title>MODELING N-DIMENSIONAL PROBABILITY DENSITY OF THE COSINE OF PHASE DIFFERENCE</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Sidorenko</surname><given-names>Igor Aleksandrovich</given-names></name><name xml:lang="en"><surname>Sidorenko</surname><given-names>Igor Aleksandrovich</given-names></name></name-alternatives><email>sidorenko@bsu.edu.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Budnikova</surname><given-names>Maria Alexandrovna</given-names></name><name xml:lang="en"><surname>Budnikova</surname><given-names>Maria Alexandrovna</given-names></name></name-alternatives><email>775939@bsu.edu.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2016</year></pub-date><volume>1</volume><issue>3</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2016/3/it2.pdf" /><abstract xml:lang="ru"><p>The article proposes a model that allows to explore a multivariate probability density for random variables representing the cosine of phase difference with uniform distribution. The study demonstrates the results of modeling as a histogram of the experimental data. The developed model allowed getting approximate formulas for the n-dimensional probability density of the cosine of the phase difference for n&amp;le;5. The results of this study may be relevant when assessing the effectiveness of signal reception with random parameters.</p></abstract><trans-abstract xml:lang="en"><p>The article proposes a model that allows to explore a multivariate probability density for random variables representing the cosine of phase difference with uniform distribution. The study demonstrates the results of modeling as a histogram of the experimental data. The developed model allowed getting approximate formulas for the n-dimensional probability density of the cosine of the phase difference for n&amp;le;5. The results of this study may be relevant when assessing the effectiveness of signal reception with random parameters.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>computer modeling</kwd><kwd>multivariate probability density</kwd><kwd>incoherent reception</kwd><kwd>interpolation</kwd></kwd-group><kwd-group xml:lang="en"><kwd>computer modeling</kwd><kwd>multivariate probability density</kwd><kwd>incoherent reception</kwd><kwd>interpolation</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>1. Ventcel&amp;#39; E.S. Probability Theory: High School Textbook, 6th edition. Moscow: Vysshaya Shkola, 1999. P.576.</mixed-citation></ref><ref id="B2"><mixed-citation>2. Gutkin L.S. The Theory of Optimal Methods of Radio Reception in Fluctuating Noise. Moscow: Gosehnergoizdat, 1961. P.491.</mixed-citation></ref><ref id="B3"><mixed-citation>3. Cooper G., McGillem C. Probabilistic Methods of Signal and System Analysis. Moscow: Mir, 1989. P.376.</mixed-citation></ref><ref id="B4"><mixed-citation>4. Levin B.R. Theoretical Foundations of Statistical Radio Engineering. Book One. 2nd edition. Moscow: Sovetskoe Radio, 1974. P.552.</mixed-citation></ref><ref id="B5"><mixed-citation>5. Polovko A.M., Butusov P.N. MATLAB for Students. St. Petersburg: BHV-Petersburg, 2005. P.320.</mixed-citation></ref><ref id="B6"><mixed-citation>6. Potemkin V. G. Calculations in MATLAB. Moscow: Dialog-MIFI, 2004. P.720.</mixed-citation></ref><ref id="B7"><mixed-citation>7. Tikhonov V.I. Statistical Radios. 2nd edition. Moscow: Radio i Svyaz&amp;#39;, 1982. P.624.</mixed-citation></ref><ref id="B8"><mixed-citation>8. Interpolation of Functions by Interpolating Polynomials // MATLAB.Exponenta / Information on products MATLAB &amp;amp; Toolboxes. URL: http://matlab.exponenta.ru/spline/book1/10.php. (date of access: April 27, 2016).</mixed-citation></ref></ref-list></back></article>