Machine learning applications in electromagnetics and antenna array processing /:
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 optimizatio...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston :
Artech House,
[2021]
|
| Schriftenreihe: | Artech House electromagnetic analysis series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | 1 online resource (xiii, 331 pages) |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781630817763 1630817767 |
Internformat
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| spelling | Martínez-Ramón, Manel, 1968- author. https://id.oclc.org/worldcat/entity/E39PCjJqfg7MwMCcbkQK43jh6q http://id.loc.gov/authorities/names/n2006064214 Machine learning applications in electromagnetics and antenna array processing / Manel Martínez-Ramón, Arjun Gupta, José Luis Rojo-Álvarez, Christos Christodoulou. Boston : Artech House, [2021] 1 online resource (xiii, 331 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Artech House electromagnetic series 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. Print version record. Includes bibliographical references. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Machine learning fast has work: Machine learning applications in electromagnetics and antenna array processing (Text) https://id.oclc.org/worldcat/entity/E39PCGHQBkrwCVfKGDJxcRBfpX https://id.oclc.org/worldcat/ontology/hasWork Print version: Martínez-Ramón, Manel, 1968- Machine learning applications in electromagnetics and antenna array processing. Boston : Artech House, [2021] 1630817759 (OCoLC)1237307871 Artech House electromagnetic analysis series. http://id.loc.gov/authorities/names/n2002010185 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2972012 Volltext |
| spellingShingle | Martínez-Ramón, Manel, 1968- Machine learning applications in electromagnetics and antenna array processing / Artech House electromagnetic analysis series. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Machine learning fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 |
| title | Machine learning applications in electromagnetics and antenna array processing / |
| title_auth | Machine learning applications in electromagnetics and antenna array processing / |
| title_exact_search | Machine learning applications in electromagnetics and antenna array processing / |
| title_full | Machine learning applications in electromagnetics and antenna array processing / Manel Martínez-Ramón, Arjun Gupta, José Luis Rojo-Álvarez, Christos Christodoulou. |
| title_fullStr | Machine learning applications in electromagnetics and antenna array processing / Manel Martínez-Ramón, Arjun Gupta, José Luis Rojo-Álvarez, Christos Christodoulou. |
| title_full_unstemmed | Machine learning applications in electromagnetics and antenna array processing / Manel Martínez-Ramón, Arjun Gupta, José Luis Rojo-Álvarez, Christos Christodoulou. |
| title_short | Machine learning applications in electromagnetics and antenna array processing / |
| title_sort | machine learning applications in electromagnetics and antenna array processing |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Apprentissage automatique. Machine learning fast |
| topic_facet | Machine learning. Apprentissage automatique. Machine learning |
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