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        <identifier>oai:meral.edu.mm:recid/4627</identifier>
        <datestamp>2021-12-13T02:21:59Z</datestamp>
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          <dc:title>A New Algorithmic Approach for Detecting Hidden Periodicity of Noisy Signals in Technically Complicated Systems</dc:title>
          <dc:creator>Winn, Aung Phyo</dc:creator>
          <dc:creator>Troyanovskyi, V.M.</dc:creator>
          <dc:description>Detecting signals with hidden periodicity is awide and popular task in most complicatedtechnical systems. The fields, where this problemis observed, can be astrophysics, engineeringand mechanics, adaptive control, informationcontrol system, radio-localization and radiotechnology, power engineering andtelecommunication, ecology and so on. In thispaper, process of signal detection under noisebackground is considered by developing themethod based on synchronous detection. Here, itis assumed that the signal is periodic in thebackground of the noise and part of that signal ispartially lost. At the end, comparative empiricalresults of different algorithms are presented bycomputer modeling in different platforms andfinal conclusions are described. At the endcomparative results which are received bymodeling of various algorithms are presented.The conclusion contains the short review of aproblem and a method of its decision.</dc:description>
          <dc:date>2011-05-05</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004627</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4627</dc:identifier>
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