Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP

In this paper we present an implementation of the LMS (Least Mean Square), NLMS (Normalized Least Mean Square) and other LMS based algorithms on the DSK (DSP Starters Kit) TMS320C6713 with the intention to compare their performance. We obtained the time and frequency behaviour, and the processing sp...

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Bibliographic Details
Published in:	2009 52nd IEEE International Midwest Symposium on Circuits and Systems pp. 1091 - 1096
Main Authors:	Duran Villalobos, C.A., Tavares Reyes, J.A., Sanchez Garcia, J.C.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-08-2009
Subjects:	Adaptive filters Algorithm design and analysis Convergence Digital signal processing Finite impulse response filter Frequency Least squares approximation Performance analysis Radar signal processing Signal processing algorithms
Online Access:	Get full text
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Summary:	In this paper we present an implementation of the LMS (Least Mean Square), NLMS (Normalized Least Mean Square) and other LMS based algorithms on the DSK (DSP Starters Kit) TMS320C6713 with the intention to compare their performance. We obtained the time and frequency behaviour, and the processing speed of the analyzed algorithms. The objective of the NLMS algorithm is to obtain the best convergence factor considering the input signal power in order to improve the filter convergence time. The obtained results show that the NLMS has better performance than the LMS, unfortunately, the computational complexity increase which means more processing time.
ISBN:	1424444799 9781424444793
ISSN:	1548-3746 1558-3899
DOI:	10.1109/MWSCAS.2009.5235958