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

Xu, Jianwu

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

Sinossi

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.

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L'autore

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.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2010
Lingua
Inglese
ISBN 10 
3838313089
ISBN 13 
9783838313085
Rilegatura
Copertina flessibile
Numero di pagine
164
Contatto del produttore
non disponibile
Persona responsabile
non disponibile