Embedded SVM on TMS320C6713 for signal prediction in classification and regression applications

Zabalza, Jaime and Ren, Jinchang and Clemente, Carmine and Di Caterina, Gaetano and Soraghan, John; (2012) Embedded SVM on TMS320C6713 for signal prediction in classification and regression applications. In: 2012 5th European DSP Education and Research Conference (EDERC). IEEE, pp. 90-94. ISBN 978-1-4673-4595-8 (https://doi.org/10.1109/EDERC.2012.6532232)

Full text not available in this repository.Request a copy

Abstract

Support Vector Machine (SVM) is a very powerful tool for signal prediction including classification and regression. With Texas Instruments TMS320C6713 DSK, an embedded SVM is implemented, where a user friendly interface is provided via peripherals like the DIPs and LEDs. The C6713 processor in combination with the SDRAM block memory can solve the complex computation that SVM requires. Also a Real-Time utilisation of the device from Matlab environment is demonstrated. An exciting application framework is finally obtained, from which some conclusions related to the implementation and final usage are derived.

ORCID iDs

Zabalza, Jaime ORCID logoORCID: https://orcid.org/0000-0002-0634-1725, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Di Caterina, Gaetano ORCID logoORCID: https://orcid.org/0000-0002-7256-0897 and Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
CORE (COnnecting REpositories)