1. Repositorio Institucional UNAD
Please use this identifier to cite or link to this item: https://repository.unad.edu.co/handle/10596/32159
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dc.creatorDíaz Velásquez, María Fernanda-
dc.creatorGuerrero Ramírez, Jorge Eduardo-
dc.date2016-01-04-
dc.identifierhttps://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621-
dc.identifier10.22490/21456453.1621-
dc.descriptionThis paper shows the application of the classic technique of digital signal processing (DSP), the cross-correlation, used for the detection of acoustic signatures of road traffic in Cali city, Colombia. Future goal is to build a detection software that through real time measures allows us estimate the levels of acoustic pollution in the city by using simulation models of road traffic, in the framework of environmentally-friendly smart cities. Final results of the experimental tests showed an accuracy of 71.43% for specific vehicle detection.es-ES
dc.formattext/html-
dc.languagespa-
dc.publisherUniversidad Nacional Abierta y a Distancia, UNADes-ES
dc.relationhttps://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621/1948-
dc.rightsDerechos de autor 2017 Revista de Investigación Agraria y Ambientales-ES
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceRevista de Investigación Agraria y Ambiental; Vol. 7 No. 1 (2016)en-US
dc.sourceRevista de Investigación Agraria y Ambiental; Vol. 7 Núm. 1 (2016)es-ES
dc.source2145-6453-
dc.source2145-6097-
dc.subjectAcoustic signaturees-ES
dc.subjectcorrelationes-ES
dc.subjectvehicle traffices-ES
dc.titleVehicle recognition by using acoustic signature and classic DSP techniqueses-ES
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
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