Digital signal processing with kernel methods /
Rojo-Álvarez, José Luis, 1972-
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 - First edition. - xxvi, 639 pages, 9 unnumbered pages of plates ; 25 cm
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
9781118611791 (cloth)
Signal processing--Digital techniques.
TK5102.9 / .R65 2017
621.3822 / .R741 2018
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 - First edition. - xxvi, 639 pages, 9 unnumbered pages of plates ; 25 cm
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
9781118611791 (cloth)
Signal processing--Digital techniques.
TK5102.9 / .R65 2017
621.3822 / .R741 2018