Image from Google Jackets

Digital signal processing with kernel methods / by Dr. José Luis Rojo-Álvarez, Department of Signal Theory and Communications, University Rey Juan Carlos, Fuenlabrada (Madrid) and Center for Computational Simulation, Universidad Politecnica de Madrid, Spain, Dr. Manel Martínez-Ramón, Department of Electrical and Computer Engineering, The University of New Mexico, Albuquerque, New Mexico, USA, Dr. Jordi Muñoz-Marí, Department of Electronics Engineering, Universitat de Valencia, Paterna (Valencia), Spain, Dr. Gustau Camps-Valls, Department of Electronics Engineering, Universitat de Valencia, Paterna (Valencia), Spain

By: Contributor(s): Publisher: New Jersey : John Wiley & Sons, 2018Copyright date: c2018Edition: First editionDescription: xxvi, 639 pages, 9 unnumbered pages of plates ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118611791 (cloth)
Subject(s): Additional physical formats: Online version:: Digital signal processing with kernel methodsDDC classification:
  • 621.3822 .R741 2018
LOC classification:
  • TK5102.9 .R65 2017
Summary: "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. It also provides a comprehensive overview of kernel methods in signal processing, without restrictions 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." --Provided by publisher
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Print Materials Main Library Engineering 621.3822 .R741 2018 (Browse shelf(Opens below)) Available 0121429

Includes bibliographical references and index.

"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.

It also provides a comprehensive overview of kernel methods in signal processing, without restrictions 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." --Provided by publisher

Adult

Text in English

There are no comments on this title.

to post a comment.