Support Vector Machines for Antenna Array Processing and 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.

Table of 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

About the Author(s)

Manel Martinez-Ramon, Universidad Carlos III de Madrid, Spain

Christos Christodoulou, University of New Mexico