Title :
Analysis performance of adaptive filters for system identification implemented over TMS320C6713 DSP platform
Author :
Fabián R. Jiménez L.;Camilo E. Pardo B.;Edgar A. Gutiérrez C.
Author_Institution :
Universidad Pedagó
Abstract :
This paper presents the experimental analysis and development of software and hardware configuration to implement adaptive algorithms: LMS (Least Mean Square) and RLS (Recursive Least Square), using TMS320C6713 DSP platform of Texas Instruments, for unknown systems identification. Experimental analysis and results for each adaptive filter implemented is described in detail for real-time systems identification applications in terms of performance criterions in time, frequency, computational complexity, and accuracy.
Keywords :
"Adaptive filters","Least squares approximations","Finite impulse response filters","Adaptive algorithms","Filtering algorithms","Digital signal processing","Algorithm design and analysis"
Conference_Titel :
Signal Processing, Images and Computer Vision (STSIVA), 2015 20th Symposium on
DOI :
10.1109/STSIVA.2015.7330439
