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Variable Step-Size APA with decorrelation of AR input process

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dc.contributor.author송주만-
dc.contributor.author신재욱-
dc.contributor.author최현택-
dc.contributor.author박부견-
dc.date.accessioned2021-12-08T17:41:04Z-
dc.date.available2021-12-08T17:41:04Z-
dc.date.issued20121024-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5171-
dc.description.abstractThis paper introduces a new variable step-size APA with decorrelation of AR input process is based on the MSD analysis. To achieve a fast convergence rate and a small steady-state estimation error, he proposed algorithm uses variable step size that is determined by minimising the MSD. In addition, experimental results show that the proposed algorithm is achieved better performance than the other algorithms.p size that is determined by minimising the MSD. In addition, experimental results show that the proposed algorithm is achieved better performance than the other algorithms.-
dc.language영어-
dc.language.isoENG-
dc.titleVariable Step-Size APA with decorrelation of AR input process-
dc.title.alternativeVariable Step-Size APA with decorrelation of AR input process-
dc.typeConference-
dc.citation.titleInternational Conference on Electrical, Computer, Electronics and Communication Engineering-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage1-
dc.citation.conferenceNameInternational Conference on Electrical, Computer, Electronics and Communication Engineering-
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