Filtrado adaptativo implementado sobre plataforma DSP TMS320c6713 para identificación de sistemas

Autor:	Fabián Rolando Jiménez-López, Camilo Ernesto Pardo-Beainy, Edgar Andrés Gutiérrez-Cáceres
Jazyk:	English<br />Spanish; Castilian
Rok vydání:	2014
Předmět:	adaptive filtering digital signal processor lms algorithm rls algorithm real time processing system identification Technology Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Iteckne, Vol 11, Iss 2, Pp 157-171 (2014)
Druh dokumentu:	article
ISSN:	1692-1798 2339-3483
DOI:	10.15332/iteckne.v11i2.726
Popis:	This paper presents the experimental development of software and hardware configuration to implement two adaptive algorithms: LMS (Least Mean Square) and RLS (Recursive Least Square), using TMS320C6713 DSP platform of Texas Instruments, for unknown systems identification. Methodology for implementation and validation analysis for the adaptive algorithms is described in detail for real-time systems identification applications, and the experimental results were evaluated in terms of performance criterions in time domain, frequency domain, computational complexity, and accuracy.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/51903400425c467d85df41a9b2c9021b Zobrazit plný text záznamu View record in DOAJ