Support Vector Machines For Antenna Array Processing And Electromagnetics
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Support Vector Machines For Antenna Array Processing And Electromagnetics
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Author : Manel Martínez-Ramón
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2006-12-01
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Manel Martínez-Ramón and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-01 with Technology & Engineering categories.
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
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Author : Manel Martínez-Ramón
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Manel Martínez-Ramón and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
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
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Author : Christos Christodoulou
language : en
Publisher:
Release Date : 2006
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Christos Christodoulou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Electrical engineering categories.
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.
Machine Learning Applications In Electromagnetics And Antenna Array Processing
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Author : Manel Martínez-Ramón
language : en
Publisher: Artech House
Release Date : 2021-04-30
Machine Learning Applications In Electromagnetics And Antenna Array Processing written by Manel Martínez-Ramón and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-30 with Technology & Engineering categories.
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.
Advances In Electromagnetics Empowered By Artificial Intelligence And Deep Learning
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Author : Sawyer D. Campbell
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-03
Advances In Electromagnetics Empowered By Artificial Intelligence And Deep Learning written by Sawyer D. Campbell and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-03 with Technology & Engineering categories.
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
Ultra Wideband Short Pulse Electromagnetics 8
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Author : Carl E. Baum
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-05
Ultra Wideband Short Pulse Electromagnetics 8 written by Carl E. Baum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-05 with Science categories.
The eighth conference on Ultra-Wideband, Short-Pulse Electromagnetics (UWBSP8) was held at the Convention Center of Albuquerque, New Mexico, USA, on 9-14 July 2006. This was part of AMEREM 2006. This in turn was part of a Joint Symposium including IEEE Antennas and Propagation Society International Symposium and USNC (US National Committee)/URSI (International Union of Radio Science) National Radio Science Meeting. This continues the tradition extending through Magdeburg, Germany (2004), on back to their beginning at Polytechnic University in Brooklyn, New York, USA (1992). Like the previous conferences, the eighth in this series extends the earlier results. The subjects include pulse radiation and measurement, scattering theory, target detection and identification, antennas, signal processing, communications, and related subjects. It should be noted that, at this Joint Symposium, ultra-wideband was prominently recognized by the presentation of the John Kraus Antenna Award of the IEEE Antennas and Propagation Society to C. E. Baum, E. G. Farr, and D. V. Giri “For development of novel and innovative ultra-wideband antenna concepts that have enabled a new area of electromagnetics. ” The photograph on the front cover is that of JOLT, an extremely powerful radiator of impulse-like electromagnetic waves. It was developed by the Air Force Research Laboratory, Directed Energy Directorate, on Kirtland AFB, adjacent to Albuquerque. The editors wish to thank all of those involved in the Joint Symposium. The University of New Mexico, Department of Electrical and Computer Engineering, made an especially large contribution of personnel.
Support Vector Machines For Antenna Array Processing And Electromagnetics
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Author : Manel / Christodoulou Ramon-Martinez (Christos)
language : en
Publisher:
Release Date : 2006
Support Vector Machines For Antenna Array Processing And Electromagnetics written by Manel / Christodoulou Ramon-Martinez (Christos) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
Soft Computing Methods For Microwave And Millimeter Wave Design Problems
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Author : Narendra Chauhan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-09
Soft Computing Methods For Microwave And Millimeter Wave Design Problems written by Narendra Chauhan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-09 with Computers categories.
The growing commercial market of Microwave/ Millimeter wave industry over the past decade has led to the explosion of interests and opportunities for the design and development of microwave components.The design of most microwave components requires the use of commercially available electromagnetic (EM) simulation tools for their analysis. In the design process, the simulations are carried out by varying the design parameters until the desired response is obtained. The optimization of design parameters by manual searching is a cumbersome and time consuming process. Soft computing methods such as Genetic Algorithm (GA), Artificial Neural Network (ANN) and Fuzzy Logic (FL) have been widely used by EM researchers for microwave design since last decade. The aim of these methods is to tolerate imprecision, uncertainty, and approximation to achieve robust and low cost solution in a small time frame. Modeling and optimization are essential parts and powerful tools for the microwave/millimeter wave design. This book deals with the development and use of soft computing methods for tackling challenging design problems in the microwave/millimeter wave domain. The aim in the development of these methods is to obtain the design in small time frame while improving the accuracy of the design for a wide range of applications. To achieve this goal, a few diverse design problems of microwave field, representing varied challenges in the design, such as different microstrip antennas, microwave filters, a microstrip-via and also some critical high power components such as nonlinear tapers and RF-windows are considered as case-study design problems. Different design methodologies are developed for these applications. The presents soft computing methods, their review for microwave/millimeter wave design problems and specific case-study problems to infuse better insight and understanding of the subject.
Artificial Intelligence For Future Networks
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Author : Mohammad A. Matin
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-02
Artificial Intelligence For Future Networks written by Mohammad A. Matin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Computers categories.
An exploration of connected intelligent edge, artificial intelligence, and machine learning for B5G/6G architecture Artificial Intelligence for Future Networks illuminates how artificial intelligence (AI) and machine learning (ML) influence the general architecture and improve the usability of future networks like B5G and 6G through increased system capacity, low latency, high reliability, greater spectrum efficiency, and support of massive internet of things (mIoT). The book reviews network design and management, offering an in-depth treatment of AI oriented future networks infrastructure. Providing up-to-date materials for AI empowered resource management and extensive discussion on energy-efficient communications, this book incorporates a thorough analysis of the recent advancement and potential applications of ML and AI in future networks. Each chapter is written by an expert at the forefront of AI and ML research, highlighting current design and engineering practices and emphasizing challenging issues related to future wireless applications. Some of the topics explored in Artificial Intelligence for Future Networks include: Signal processing and detection, covering preprocess and level signals, transform signals and extract features, and training and deploying AI models and systems Channel estimation and prediction, covering channel characteristics, modeling, and classic learning-aided and AI-aided estimation techniques Resource allocation, covering resource allocation optimization and efficient power consumption for different computing paradigms such as Cloud, Edge, Fog, IoT, and MEC Antenna design using AI, covering basics of antennas, EM simulator/optimization algorithms, and surrogate modeling Identifying technical roadblocks and sharing cutting-edge research on developing methodologies, Artificial Intelligence for Future Networks is an essential reference on the subject for professionals and researchers involved in the field of wireless communications and networks, along with graduate and PhD students in electrical and computer engineering programs of study.
Selected Asymptotic Methods With Applications To Electromagnetics And Antennas
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Author : George Fikioris
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Selected Asymptotic Methods With Applications To Electromagnetics And Antennas written by George Fikioris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
This book describes and illustrates the application of several asymptotic methods that have proved useful in the authors' research in electromagnetics and antennas. We first define asymptotic approximations and expansions and explain these concepts in detail. We then develop certain prerequisites from complex analysis such as power series, multivalued functions (including the concepts of branch points and branch cuts), and the all-important gamma function. Of particular importance is the idea of analytic continuation (of functions of a single complex variable); our discussions here include some recent, direct applications to antennas and computational electromagnetics. Then, specific methods are discussed. These include integration by parts and the Riemann-Lebesgue lemma, the use of contour integration in conjunction with other methods, techniques related to Laplace's method and Watson's lemma, the asymptotic behavior of certain Fourier sine and cosine transforms, and the Poisson summation formula (including its version for finite sums). Often underutilized in the literature are asymptotic techniques based on the Mellin transform; our treatment of this subject complements the techniques presented in our recent Synthesis Lecture on the exact (not asymptotic) evaluation of integrals.