9781785618529 - deep neural network design for radar applications (radar, sonar and navigation) (22 resultados)
Idioma: Inglés
Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Institution of Engineering and Technology, GB 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Hardback. Condición: New. Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist o…r engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
Idioma: Inglés
Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: California Books, Miami, Estados Unidos de AmericaCalifornia Books
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Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Idioma: Inglés
Editorial: Institution of Engineering and Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Institution of Engineering and Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Institution of Engineering and Technology 2021-02-04 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Hardcover. Condición: New.
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Editorial: Institution of Engineering and Technology, GB 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Hardback. Condición: New. Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist o…r engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
Idioma: Inglés
Editorial: Institution of Engineering and Technology, GB 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: Rarewaves USA United, OSWEGO, Estados Unidos de AmericaRarewaves USA United
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Hardback. Condición: New. Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist o…r engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
Idioma: Inglés
Editorial: Scitech Pub Inc 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 400 pages. 9.21x6.14x0.94 inches. In Stock.
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Editorial: Scitech Publishing 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Editorial: Institution of Engineering and Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condición: New. 2021. hardcover. . . . . .
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Editorial: SCITECH PUB 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Inhaltsverzeichnisrnrnn Prologue: perspectives on deep learning of RF datan Part I: Fundamentalsn Chapter 1: Radar systems, signals, and phenomenologyn Chapter 2: Basic principles of machine learningn C.
Idioma: Inglés
Editorial: Institution of Engineering and Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: Kennys Bookstore, Olney, Estados Unidos de AmericaKennys Bookstore
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Condición: New. 2021. hardcover. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: Institution of Engineering and Technology, GB 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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Hardback. Condición: New. Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist o…r engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
Idioma: Inglés
Editorial: Institution Of Engineering & Technology Feb 2021 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Neuware - Novel deep learning models are achieving state-of-the-art accuracy in the area of radar target recognition, sometimes exceeding human-level performance. The book provides an introduction to the key aspects of machine learning that any radar engineer seeking to apply deep learning to radar signal p…rocessing ought to be aware of.
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Editorial: Institution of Engineering & Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Librería: preigu, Osnabrück, Alemaniapreigu
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Buch. Condición: Neu. Deep Neural Network Design for Radar Applications | Sevgi Zubeyde Gurbuz | Buch | Radar, Sonar and Navigation | Gebunden | Englisch | 2021 | Institution of Engineering & Technology | EAN 9781785618529 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de |…Anbieter: preigu.
Idioma: Inglés
Editorial: Institution of Engineering and Technology 2021
Serie: Radar, Sonar and Navigation, Libro 21 de 25. Libro 21 de 25 - Radar, Sonar and Navigation
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Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
