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Distributed Detection of Selected Features in Data Streams Using Grid-class Systems

Abstract

This chapter describes basic methodology of distributed digital signal processing. A choice of distributed methods of detection of selected features in data streams using grid-class systems is discussed. Problems related to distribution of data for processing are addressed. A mitigating method for data distribution and result merging is described.

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Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Grid and Volunteer Computing strony 163 - 172
Language:
English
Publication year:
2012
Bibliographic description:
Matuszek M.: Distributed Detection of Selected Features in Data Streams Using Grid-class Systems// Grid and Volunteer Computing/ ed. eds. J.Balicki, H.Krawczyk, E.Nawarecki Gdańsk: GUT, 2012, s.163-172
Verified by:
Gdańsk University of Technology

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