Support Vector Machines For Antenna Array Processing And Electromagnetics


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Support Vector Machines for Antenna Array Processing and Electromagnetics


Support Vector Machines for Antenna Array Processing and Electromagnetics

Author: Manel Martínez-Ramón

language: en

Publisher: Morgan & Claypool Publishers

Release Date: 2006-12-01


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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.

Support Vector Machines for Antenna Array Processing and Electromagnetics


Support Vector Machines for Antenna Array Processing and Electromagnetics

Author: Manel Martínez-Ramón

language: en

Publisher: Springer Nature

Release Date: 2022-06-01


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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.

Support Vector Machines for Antenna Array Processing and Electromagnetics


Support Vector Machines for Antenna Array Processing and Electromagnetics

Author: Christos Christodoulou

language: en

Publisher:

Release Date: 2006


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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.