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Kernel Recursive Leastsquares Algorithm with Slidingwindow Approximately Linear Dependence Sparsification

Aiming at varied channel environment during test and training,this paper proposes a new Kernel Recursive Leastsquares(KRLS) algorithm with sliding-window approximately linear dependence sparsification.Kernel matrix size is only relative to the width of sliding window.The nearest L data in the dicti...

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Kaydedildi:
Yazar: CHEN Xujun,ZHU Yufang,HU Junhong,MA Deyu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Editorial Office of Computer Engineering 2016-08-01
Seri Bilgileri:Jisuanji gongcheng
Konular:
kernel recursive least-squares(krls) algorithm|sparse representation|approximately linear dependence(ald)|sliding-window|kernel matrix|gauss kernel function
Online Erişim:https://www.ecice06.com/fileup/1000-3428/PDF/201608012.pdf
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