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Statistics / Mathematics / Kernel adaptive filter / Gaussian function / Matrix / Electronic engineering / Recursive least squares filter / Digital signal processing / Signal processing / Filter theory


Closed-form conditions for convergence of the Gaussian kernel-least-mean-square algorithm C´edric Richard(1) , Jose-Carlos M. Bermudez(2)
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Document Date: 2013-04-06 12:54:25


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City

Nice / Florian`opolis / /

Company

Introduction Dynamic Systems / Jonh Wiley & Sons Inc. / EURASIP Journal / Johns Hopkins University Press / /

Country

France / /

Facility

Federal University of Santa Catarina / /

IndustryTerm

Online prediction / kernel least-mean-square algorithm / recurrent network / online applications / generalized normalized gradient descent algorithm / okid algorithm / inner product / nonlinear signal processing / kernel affine projection algorithm / kernel-least-mean-square algorithm / multilayer feedfoorward neural networks / /

Organization

Federal University of Santa Catarina / The Johns Hopkins University / France Department of Electrical Engineering / Stanford / /

Person

Jose-Carlos M. Bermudez / /

Position

first author / /

ProvinceOrState

South Carolina / /

Technology

kernel-LMS algorithm / Gaussian KLMS algorithm / Control Systems Technology / KLMS algorithm / simulation / Gaussian kernel-least-mean-square algorithm / okid algorithm / flow control / Gaussian kernel least-mean-square algorithm / kernel affine projection algorithm / generalized normalized gradient descent algorithm / /

URL

www.cedric-richard.fr / /

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