Digital Signal Processing with Kernel Methods
Offering example applications and detailed benchmarking experiments with real and synthetic datasets throughout, this book provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. --
Read More ↓Title Statements
- Full title :Digital Signal Processing with Kernel Methods / by Jose Luis Rojo-Alvarez, Manel Martinez-Ramon, Jordi Munoz-Mari, Gustau Camps-Valls.
Summary
Offering example applications and detailed benchmarking experiments with real and synthetic datasets throughout, this book provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. --
Read More ↓Edition Statements
- Publication Date:2018.
Publication Statements
- Publisher(s):John Wiley & Sons (UK)
- Place of Publication:Place of publication not identified
- Language:eng
- Publication Date:2018.
Notes
Titre de l'écran-titre (visionné le 26 sept. 2018).
TRAITEMENT SOMMAIRE.
The Physical Object
- Description:1 ressource en ligne (672 pages)
Edition Identifiers
- ISBN:9781118705834, 1118705831, 9781118705827, 1118705823, 9781118705810, 1118705815
- oclc:on1078378520
- LC Classification:TK5102.9
- Dewey Decimal:621.382/20285
Table of Contents
From signal processing to machine learning -- Introduction to digital signal processing -- Signal processing models -- Kernel functions and reproducing kernel Hilbert spaces -- A SVM signal estimation framework -- Reproducing kernel Hilbert space models for signal processing -- Dual signal models for signal processing -- Advances in kernel regression and function approximation -- Adaptive kernel learning for signal processing -- SVM and kernel classification algorithms -- Clustering and anomaly detection with kernels -- Kernel feature extraction in signal processing.
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