Adaptive noise canceller using LMS algorithm with codified error in a DSP

J. Gerardo Avalos, Daniel Espinobarro, Jose Velazquez, Juan C. Sanchez

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

3 Scopus citations

Abstract

In this paper we present an implementation of a digital adaptive filter on the digital signal processor TMS320C67I 3, using a variant of the LMS algorithm, which consists in error codification, thus the speed of convergence is increased and the complexity of design for its implementation in digital adaptive filters is reduced, because the resulting codified error is composed of integer values. The LMS Algorithm with codified error (ECLMS), was tested in an environmental noise canceller and the results demonstrate an increase in the convergence speed, and a reduction of processing time.

Original languageEnglish
Title of host publication2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Pages657-662
Number of pages6
DOIs
StatePublished - 2009
Event2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09 - Cancun, Mexico
Duration: 2 Aug 20095 Aug 2009

Publication series

NameMidwest Symposium on Circuits and Systems
ISSN (Print)1548-3746

Conference

Conference2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Country/TerritoryMexico
CityCancun
Period2/08/095/08/09

Fingerprint

Dive into the research topics of 'Adaptive noise canceller using LMS algorithm with codified error in a DSP'. Together they form a unique fingerprint.

Cite this