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Support Vector Machines for Antenna Array Processing and Electromagnetics / by Manel Martínez-Ramón, Christos Christodoulou

By: Martínez-Ramón, Manel,, (1968-), autor
Contributor(s): Christodoulou, Christos G., (1955-), autor
Material type: materialTypeLabelE-bookSeries: (Synthesis Lectures on Computational Electromagnetics, 1932-1716).Publisher: Cham : Springer International Publishing, 2006Edition: 1st edition 2006.Description: 1 recurso en línea (IX, 110 páginas).ISBN: 9783031016929.Subject: Aprendizaje automático | Análisis multivariante | Proceso de señales -- Métodos estadísticosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Linear Support Vector Machines -- Nonlinear Support Vector Machines -- Advanced Topics -- Support Vector Machines for Beamforming -- Determination of Angle of Arrival -- Other Applications in Electromagnetics.
Summary: Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays and electromagnetic applications.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK7871.6 2006 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01112388
Total holds: 0

Introduction -- Linear Support Vector Machines -- Nonlinear Support Vector Machines -- Advanced Topics -- Support Vector Machines for Beamforming -- Determination of Angle of Arrival -- Other Applications in Electromagnetics.

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays and electromagnetic applications.

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