Analysis performance of adaptive filters for system identification implemented over TMS320C6713 DSP platform

摘要

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.