Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space: Concepts,Methods and Experiments - Couverture souple

Xu, Jianwu

 
9783838313085: Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space: Concepts,Methods and Experiments
Couverture souple
ISBN 10 : 3838313089 ISBN 13 : 9783838313085
Editeur : LAP LAMBERT Academic Publishing, 2010

Synopsis

Over the last few decades, there has been much research on reproducing kernel Hilbert space (RKHS) for machine learning. This monograph applies RKHS for nonlinear signal processing. It proposes a new statistical descriptor, called correntropy, to characterize the higher order statistical information and nonlinearity intrinsic to random processes. Correntropy and centered correntropy functions can be formulated as "generalized" correlation and covariance functions on nonlinearly transformed random signals via the data independent kernel functions. Those nonlinearly transformed signals appear on the sphere in the reproducing kernel Hilbert space induced by the kernel functions if isotropic kernel functions are used. The book offers new insights into the application of RKHS in nonlinear signal processing. Graduate students, professionals and researchers who are working on nonlinear signal processing and machine learning will find insightful information from the book.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Over the last few decades, there has been much research on reproducing kernel Hilbert space (RKHS) for machine learning. This monograph applies RKHS for nonlinear signal processing. It proposes a new statistical descriptor, called correntropy, to characterize the higher order statistical information and nonlinearity intrinsic to random processes. Correntropy and centered correntropy functions can be formulated as "generalized" correlation and covariance functions on nonlinearly transformed random signals via the data independent kernel functions. Those nonlinearly transformed signals appear on the sphere in the reproducing kernel Hilbert space induced by the kernel functions if isotropic kernel functions are used. The book offers new insights into the application of RKHS in nonlinear signal processing. Graduate students, professionals and researchers who are working on nonlinear signal processing and machine learning will find insightful information from the book.

Biographie de l'auteur

Jianwu Xu received Ph.D. in Electrical and Computer Engineering from the University of Florida. Currently, He is a Post-Doctoral Scholar at the University of Chicago working on Computer-Aided Diagnosis.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838313089
ISBN 13 
9783838313085
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
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