Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space

Language: English

Published by LAP LAMBERT Academic Publishing Mai 2010, 2010

3838313089 / 9783838313085

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 164 pp. Englisch.…

Seller Inventory # 9783838313085

Title
Nonlinear Signal Processing Based on Reproducing Kernel Hilbert Space
Author
Jianwu Xu
Publisher
LAP LAMBERT Academic Publishing Mai 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838313089
ISBN 13
9783838313085
Item weight
262 grams
Dimensions
220x150x10 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany