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Parallel computing for multi-dimensional signals acquisition and processing

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dc.contributor.author CALUGARI, Dmitri
dc.contributor.author ABABII, Constantin
dc.contributor.author OSOVSCHI, Mariana
dc.contributor.author TURCAN, Ana
dc.contributor.author BORDIAN, Dimitri
dc.contributor.author BOROZAN, Olesea
dc.date.accessioned 2019-11-01T10:16:34Z
dc.date.available 2019-11-01T10:16:34Z
dc.date.issued 2019
dc.identifier.citation CALUGARI, Dmitri, ABABII, Constantin, OSOVSCHI, Mariana, TURCAN, Ana, BORDIAN, Dimitri, BOROZAN, Olesea. Parallel computing for multi-dimensional signals acquisition and processing. In: Electronics, Communications and Computing: extended abstracts of the 10th Intern. Conf.: the 55th anniversary of Technical University of Moldova, Chişinău, October 23-26, 2019. Chişinău, 2019, p. 97. ISBN 978-9975-108-84-3. en_US
dc.identifier.isbn 978-9975-108-84-3
dc.identifier.uri http://repository.utm.md/handle/5014/5828
dc.description Abstract
dc.description.abstract This paper presents the design and research results of the digital systems with parallel computing for the acquisition and processing of multi-dimensional signals The obtained results can be applied to solve the problem of parametric and functional testing of Printed Circuit Board (PCB), in which concurrent processes are specific for real-time data acquisition and processing. en_US
dc.language.iso en en_US
dc.publisher Tehnica UTM en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject parallel computing en_US
dc.subject data acquisition and processing en_US
dc.subject multi-dimensional signals en_US
dc.subject printed circuit boards en_US
dc.title Parallel computing for multi-dimensional signals acquisition and processing en_US
dc.type Article en_US


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  • 2019
    Extended Abstracts of the: The 10th IC|ECCO; October 23-26, 2019

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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