DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorDoulamis, Anastasios-
dc.contributor.authorDoulamis, Nikolaos-
dc.date.accessioned2024-10-11T08:07:21Z-
dc.date.available2024-10-11T08:07:21Z-
dc.date.issued2002-03-27-
dc.identifierscopus-84960935002-
dc.identifier.other84960935002-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2820-
dc.description.abstractIn this paper, an efficient algorithm for recursive estimation of a Non-linear Autoregression (NAR) model is proposed. In particular, the model parameters are dynamically adapted through time so that a) the model response, after the parameter updating, satisfies the current conditions and b) a minimal modification of the model parameters is accomplished. The first condition is expressed by applying a first-order Taylor series to the non-linear function, which models the NAR system. The second condition implies the solution to be as much as close to the previous model state. The proposed recursive scheme is evaluated for the traffic prediction of real-life MPEG coded video sources.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleRecursive Non-linear Autoregressive models (RNAR): application to traffic prediction of MPEG video sourcesen_US
dc.typeConference Paperen_US
dc.relation.conference11th European Signal Processing Conference (EUSIPCO 2002), 3-6 September 2002, Toulouse, Franceen_US
dc.identifier.scopus2-s2.0-84960935002-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.linkhttps://ieeexplore.ieee.org/document/7072222en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια
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