Support Vector Machines for Antenna Array Processing and Electromagnetics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Support Vector Machines for Antenna Array Processing and Electromagnetics write by Manel Martínez-Ramón. This book was released on 2006. Support Vector Machines for Antenna Array Processing and Electromagnetics available in PDF, EPUB and Kindle. Since the 1990s there has been significant activity in the theoretical development and applications of Support Vector Machines (SVMs). The theory of SVMs is based on the cross-pollenization of optimization theory, statistical learning, kernel theory, and algorithmics. So far, machine learning has largely been devoted to solving problems relating to data mining, text categorization, and pattern/facial recognition but not so much in the field of electromagnetics. Recently, however, popular binary machine learning algorithms, including support vector machines (SVM), have successfully been applied to wireless communication problems, notably spread spectrum receiver design and channelequalization.The aim of this book is to gently introduce support vector machines in its linear and non linear form, both as regressors and as classifiers, and to show how they can be applied to several antenna array processing problems and electromagnetics in general.The lecture is divided into three main parts. The first three chapters cover the theory of SVMS, both as classifiers and regressors. The next three chapters deal with applications in antenna array processing and other areas in electromagnetics. The four appendices at the end of the book comprise the last part. The inclusion of MATLAB files will help readers start their application of the algorithms covered in the book.
Support Vector Machines for Antenna Array Processing and Electromagnetics
Support Vector Machines for Antenna Array Processing and Electromagnetics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Support Vector Machines for Antenna Array Processing and Electromagnetics write by Manel Martínez-Ramón. This book was released on 2022-06-01. Support Vector Machines for Antenna Array Processing and Electromagnetics available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Support Vector Machines for Antenna Array Processing and Electromagnetics write by Christos Christodoulou. This book was released on 2006. Support Vector Machines for Antenna Array Processing and Electromagnetics available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Support Vector Machines for Antenna Array Processing and Electromagnetics write by Manel / Christodoulou Ramon-Martinez (Christos). This book was released on 2006. Support Vector Machines for Antenna Array Processing and Electromagnetics available in PDF, EPUB and Kindle.
Machine Learning Applications in Electromagnetics and Antenna Array Processing
Machine Learning Applications in Electromagnetics and Antenna Array Processing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning Applications in Electromagnetics and Antenna Array Processing write by Manel Martínez-Ramón. This book was released on 2021-04-30. Machine Learning Applications in Electromagnetics and Antenna Array Processing available in PDF, EPUB and Kindle. This practical resource provides an overview of machine learning (ML) approaches as applied to electromagnetics and antenna array processing. Detailed coverage of the main trends in ML, including uniform and random array processing (beamforming and detection of angle of arrival), antenna optimization, wave propagation, remote sensing, radar, and other aspects of electromagnetic design are explored. An introduction to machine learning principles and the most common machine learning architectures and algorithms used today in electromagnetics and other applications is presented, including basic neural networks, gaussian processes, support vector machines, kernel methods, deep learning, convolutional neural networks, and generative adversarial networks. Applications in electromagnetics and antenna array processing that are solved using machine learning are discussed, including antennas, remote sensing, and target classification.
