Radar, sonar and navigation - 9781785618529 - deep neural network design for radar applications (22 risultati)
Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2021
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Hardback. Condizione: 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…or 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.
Lingua: Inglese
Editore: Scitech Publishing, 2021
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Da: California Books, Miami, FL, U.S.A.California Books
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Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Institution of Engineering and Technology, 2021
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Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2021
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Hardback. Condizione: 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…or 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.
Lingua: Inglese
Editore: Institution of Engineering and Technology 2021-02-04, 2021
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Hardcover. Condizione: New.
Lingua: Inglese
Editore: Scitech Pub Inc, 2021
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 171,14
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Hardcover. Condizione: Brand New. 400 pages. 9.21x6.14x0.94 inches. In Stock.
Lingua: Inglese
Editore: Scitech Publishing, 2021
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Lingua: Inglese
Editore: Institution of Engineering and Technology, 2021
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2021. hardcover. . . . . .
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2021
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Hardback. Condizione: 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…or 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.
Lingua: Inglese
Editore: Scitech Publishing, 2021
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Lingua: Inglese
Editore: Institution Of Engineering And Technology Feb 2021, 2021
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Neuware - 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 scie…ntist or 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.
Lingua: Inglese
Editore: Scitech Publishing, 2021
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New.
Lingua: Inglese
Editore: SCITECH PUB, 2021
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Da: moluna, Greven, Germaniamoluna
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Condizione: 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.
Lingua: Inglese
Editore: Institution of Engineering and Technology, 2021
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Condizione: New. 2021. hardcover. . . . . . Books ship from the US and Ireland.
Altre immaginiLingua: Inglese
Editore: Institution of Engineering & Technology, 2021
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Da: preigu, Osnabrück, Germaniapreigu
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Institution of Engineering and Technology, GB, 2021
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 201,92
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Hardback. Condizione: 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…or 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.
Lingua: Inglese
Editore: Institution of Engineering and Technology, 2021
- Rilegato
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
