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Optical correlation processors for high-speed objects recognition and localization

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dc.contributor.author PERJU, Veacheslav
dc.contributor.author CASASENT, David
dc.contributor.author YOUNG, Rupert
dc.contributor.author PERJU, Veacheslav V.
dc.date.accessioned 2019-12-03T19:04:35Z
dc.date.available 2019-12-03T19:04:35Z
dc.date.issued 2012
dc.identifier.citation PERJU, Veacheslav, CASASENT, David, YOUNG, Rupert et al. Optical correlation processors for high-speed objects recognition and localization. In: Telecommunication, Electronics and Informatics - ICTEI 2012: proc. of the 4th intern. conf., Technical University of Moldova, May 17-20, 2012. Chișinău, 2012, Vol. 2, pp. 51-57. ISBN 978-9975-45-082-9. en_US
dc.identifier.isbn 978-9975-45-082-9
dc.identifier.uri http://repository.utm.md/handle/5014/7221
dc.description.abstract In the article there are presented the mathematical and structural descriptions of the basic model of the optical correlation processor, of the processor using the matrixes of the lasers and filters. In order to decrease the processing time in the processors it is proposed to use the concept of the distribution of the operations of the objects recognition and localization and to realize there in the different channels. At the stage of the objects recognition it was proposed to use the filters generating the codified correlation functions consisting of a binary optical code which is analyzing in parallel with a high speed. There were elaborated new kinds of the optical correlation processors – with distributed targets detection and localization. There were given the analyses of the time expenditures in the different kinds of the processors. 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 correlation en_US
dc.subject filter en_US
dc.subject localization en_US
dc.title Optical correlation processors for high-speed objects recognition and localization en_US
dc.type Article en_US


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