Please use this identifier to cite or link to this item: http://elartu.tntu.edu.ua/handle/123456789/2581

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dc.contributor.authorYavorskyy, Bohdan-
dc.contributor.authorDragan, Yaroslav-
dc.contributor.authorSicora, L’ubomyr-
dc.contributor.authorЯворський, Богдан Івановичuk
dc.contributor.authorДраґан, Ярослав Петрович-
dc.contributor.authorСікора, Любомир Степанович-
dc.date.accessioned2013-12-15T17:35:07Z-
dc.date.available2013-12-15T17:35:07Z-
dc.date.issued2008-09-
dc.identifier.isbn978-966-02-4889-2-
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/123456789/2581-
dc.description.abstractAn approach for development a high performance algorithm of spread spectrum signal detection is examined. A preliminary specification of detection tasks for a spectral description of signals is considered. As an example of detection a deterministic frequency hopped signal being in a mixture with a periodically correlated noise of a wide frequency band ADC is given. Methods of a spectrum analyzing of the mixture is discussed. Optimization of parameters of algorithms in the methods of spectral analyses for detection of spread spectrum signals is reconstructed as the inductive modeling method of handling of these parameters.uk
dc.language.isoenuk
dc.publisherIRTC ITS 2008uk
dc.relation.ispartofseries2nd International Conference on Inductive Modelling Proceedings;P.70-73-
dc.subjectinductive modeling methoduk
dc.subjectparameter optimization-
dc.subjectіндуктивний метод моделювання-
dc.subjectspectral description-
dc.subjectоптимізація параметрів-
dc.subjectperiodical correlated ADC noise-
dc.subjectспектральний опис-
dc.subjectspread spectrum signal-
dc.subjectперіодичний корельований шум АЦП-
dc.subjectвиявлення-
dc.subjectdetect-
dc.subjectсигнал з розширеним спектром-
dc.titleReconstruction of algorithms for spread spectrum signals detection into a frame of the inductive modeling methoduk
dc.title.alternativeРеконструкція алгоритмів виявлення сигналів розширеного спектру в рамках методу індуктивного моделювання-
dc.typeArticleuk
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