Filtrado adaptativo implementado sobre plataforma DSP TMS320c6713 para identificación de sistemas

Abstract

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.

Keywords

• adaptive filtering, digital signal processor, lms algorithm, rls algorithm, real time processing, system identification