Digital signal processing with kernel methods /

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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 si...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Rojo-Álvarez, José Luis, 1972- (Author), Martínez-Ramón, Manel, 1968- (Author), Muñoz Marí, Jordi (Author), Camps-Valls, Gustavo, 1972- (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, New Jersey : Wiley, 2018.
Edition:First edition.
Subjects:
Signal processing > Digital techniques.
Traitement du signal > Techniques numériques.
Signal processing > Digital techniques
Electronic books.
Online Access:Texto completo
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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