Téléchargez le livre : Digital Signal Processing with Kernel Methods

Digital Signal Processing with Kernel Methods

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Éditeur :

Wiley-IEEE Press


Collection :

IEEE Press

Paru le : 2017-12-27

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Description
A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems

Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research.

Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors: http://github.com/DSPKM

• Presents the necessary basic ideas from both digital signal processing and machine learning concepts
• Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing
• Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing

An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.
Pages
672 pages
Collection
IEEE Press
Parution
2017-12-27
Marque
Wiley-IEEE Press
EAN papier
9781118611791
EAN PDF
9781118705827
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
672
Taille du fichier
30310 Ko
Prix
132,88 €
EAN EPUB
9781118705834
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
672
Taille du fichier
42865 Ko
Prix
132,88 €

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