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dc.contributor.authorPapakonstantinou, G.en
dc.contributor.authorTsanakas, P.en
dc.contributor.authorManis, G.en
dc.date.accessioned2015-11-24T17:00:57Z-
dc.date.available2015-11-24T17:00:57Z-
dc.identifier.issn0165-1684-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10845-
dc.rightsDefault Licence-
dc.subjectpiecewise linear approximationen
dc.subjectparallel processingen
dc.subjectecg wave-formsen
dc.titleParallel Approaches to Piecewise-Linear Approximationen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate1994-
heal.abstractTwo parallel algorithms have been developed for the piecewise linear approximation (PLA) of digitised curves. The first one is a new general purpose PLA algorithm, based on certain improvements of a serial algorithm. The second one is a peak preserving PLA algorithm particularly suited for the ECG waveform approximation. Both algorithms have been fully implemented, tested and evaluated on a distributed memory parallel architecture, using the OCCAM language. The derived results for both algorithms are encouraging, since they lead to optimal curve approximations, and they are amenable to real-time PLA applications.en
heal.journalNameSignal Processingen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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