Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP

Carlos Alberto Duran Villalobos; J.A. Tavares; J.C. Sanchez

doi:10.1109/MWSCAS.2009.5235958

Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP

Carlos Alberto Duran Villalobos, J.A. Tavares, J.C. Sanchez

Instituto Politecnico Nacional (National Polytechnic Institute)

Research output: Contribution to conference › Paper › peer-review

Abstract

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.

Original language	English
Pages	1091
Number of pages	1096
DOIs	https://doi.org/10.1109/MWSCAS.2009.5235958
Publication status	Published - 15 Sept 2009
Externally published	Yes
Event	2009 52nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) - Cancun, Mexico Duration: 2 Aug 2009 → 5 Aug 2009 https://ieeexplore.ieee.org/xpl/conhome/5230480/proceeding

Conference

Conference	2009 52nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
Country/Territory	Mexico
City	Cancun
Period	2/08/09 → 5/08/09
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5230480/proceeding

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10.1109/MWSCAS.2009.5235958

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title = "Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP",

abstract = "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.",

author = "{Duran Villalobos}, {Carlos Alberto} and J.A. Tavares and J.C. Sanchez",

year = "2009",

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doi = "10.1109/MWSCAS.2009.5235958",

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note = "2009 52nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) ; Conference date: 02-08-2009 Through 05-08-2009",

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TY - CONF

T1 - Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP

AU - Duran Villalobos, Carlos Alberto

AU - Tavares, J.A.

AU - Sanchez, J.C.

PY - 2009/9/15

Y1 - 2009/9/15

N2 - 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.

AB - 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.

U2 - 10.1109/MWSCAS.2009.5235958

DO - 10.1109/MWSCAS.2009.5235958

M3 - Paper

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T2 - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

Y2 - 2 August 2009 through 5 August 2009

ER -

Implementation and analysis of the NLMS algorithm on TMS320C6713 DSP

Abstract

Conference

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