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SVM classifier using LUT-based RAM on a Spartan 3 FPGA [articol]

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dc.contributor.author Fazakas, Albert
dc.contributor.author Cârlugea, Mihaela
dc.contributor.author Feştilă, Lelia
dc.date.accessioned 2020-04-10T10:17:16Z
dc.date.accessioned 2021-03-01T08:37:08Z
dc.date.available 2020-04-10T10:17:16Z
dc.date.available 2021-03-01T08:37:08Z
dc.date.issued 2006
dc.identifier.citation Fazakas, Albert. SVM classifier using LUT-based RAM on a Spartan 3 FPGA. Timişoara: Editura Politehnica, 2006 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,SVM%20classifier%20using%20LUT-based%20RAM%20on%20a%20Spartan%203%20FPGA&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract Support Vector Machines are widely used in pattern recognition, being the newest achievements in neural network structures. This paper presents an implementation example of an SVM classification function using a Spartan3 FPGA device. A Block Ram based implementation is compared versus a distributed LUT-based RAM one. Aspects regarding memory geometry and instantiation are presented. The number of required clock periods and the maximum clock frequency is calculated and a speed comparison of the implemented system with software running on a PC targeting the same application is also made. en_US
dc.language.iso en en_US
dc.publisher Timişoara: Editura Politehnica en_US
dc.relation.ispartofseries Seria electronică şi telecomunicaţii, Tom 51(65), fasc. 1 (2006)
dc.subject SVM en_US
dc.subject Block RAM en_US
dc.subject LUT-based RAM en_US
dc.subject FPGA en_US
dc.title SVM classifier using LUT-based RAM on a Spartan 3 FPGA [articol] en_US
dc.type Article en_US


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