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dc.contributor.authorBarabanov, A. E.-
dc.date.accessioned2014-04-02T09:32:54Z-
dc.date.available2014-04-02T09:32:54Z-
dc.date.issued2007-
dc.identifier.urihttp://elib.bsu.by/handle/123456789/93197-
dc.description.abstractAn automatic partitioning algorithm is described that decomposed an arbitrary program text into a tree structure of objects that are extracted by analysis of information flows. The algoritrhm was implemented for standard functions in signal processing. The aim of the decomposition is development of the semantic network that is a self-tuning solver in a specific scientific field.ru
dc.language.isoenru
dc.publisherMinsk: BSUru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.titleSemantic Network in Signal Processing and Identification Theoryru
dc.typeconference paperru
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