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Fractional LMS and NLMS Algorithms for Line Echo Cancellation

dc.contributor.authorKhan, Akhtar Ali
dc.contributor.authorShah, Syed Muslim
dc.contributor.authorRaja, Muhammad Asif Zahoor
dc.contributor.authorChaudhary, Naveed Ishtiaq
dc.contributor.authorHe, Yigang
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2021-09-29T10:41:04Z
dc.date.embargo2031-12
dc.date.issued2021
dc.description.abstractIn long haul communication environments, speech data transmission is severely affected by echoes. This phenomenon results in high bit errors as well as in degraded and annoying performance. Traditionally these problems, including hybrid and acoustic echoes, have been controlled through the use of echo suppressors. These suppressors were subsequently replaced by line echo cancellers using adaptive Finite Impulse Response filters. Fractional calculus has been applied successfully for fixed filtering with constant coefficients and in discrete time adaptive filtering that adjusts the weights according to the environment. This paper presents the Fractional Least Mean Square (FLMS) and Fractional Normalized LMS (FNLMS) algorithms for application in echo cancellation. Moreover, the performances of the FLMS and FNLMS are compared with those provided by the standard LMS, NLMS and Block Discrete Fourier Transform solutions. The mean square error criterion is used as the performance comparison criterion for two types of voice signals namely real and synthetic. The simulation results show a performance improvement of about 50% over the traditional counterparts.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s13369-020-05264-1pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18613
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs13369-020-05264-1pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectAdaptive algorithmspt_PT
dc.subjectEcho cancellationpt_PT
dc.subjectFractional calculuspt_PT
dc.subjectFractional order algorithmspt_PT
dc.titleFractional LMS and NLMS Algorithms for Line Echo Cancellationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage9398pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage9385pt_PT
oaire.citation.titleArabian Journal for Science and Engineeringpt_PT
oaire.citation.volume46pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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