Analysis and implementation of LMS algorithm with coding error in the DSP TMS320C6713

José Velázquez, Juan G. Ávalos, Daniel Espinobarro, Juan C. Sánchez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work we present the analysis and implementation in a digital signal processor (DSP), of a variant of the Least Mean Square (LMS) algorithm. Modification is based on codifying the error of the algorithm, in order to reduce the design complexity for its implementation in digital adaptive filters, because the error is made up of whole values. The results demonstrate an increase in the convergence speed; it's affected indirectly by the convergence factor, and to obtain a floating point operation reduction, which accelerates processing. These, to demonstrate the results obtained from the implementation of the algorithm in the digital signal processor TMS320C6713 by Texas Instruments.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Electronics, Communications and Computers, CONIELECOMP 2008
Pages165-170
Number of pages6
DOIs
StatePublished - 2008
Event18th International Conference on Electronics, Communications and Computers, CONIELECOMP 2008 - Cholula, Puebla, Mexico
Duration: 3 Mar 20085 Mar 2008

Publication series

NameProceedings - 18th International Conference on Electronics, Communications and Computers, CONIELECOMP 2008

Conference

Conference18th International Conference on Electronics, Communications and Computers, CONIELECOMP 2008
Country/TerritoryMexico
CityCholula, Puebla
Period3/03/085/03/08

Keywords

  • Adaptive filters
  • DSP
  • ECLMS
  • LMS
  • Linear prediction

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