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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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Verlag: LAP LAMBERT Academic Publishing, 2025
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Taschenbuch. Zustand: Neu. Sparse Signal Processing for Terahertz Communication Systems | Terahertz Communication Systems | Vaishali Sharma (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208453084 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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ISBN 10: 6208453089 ISBN 13: 9786208453084
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores cutting-edge techniques and algorithms at the intersection of sparse signal theory and high-frequency wireless communication. As terahertz (THz) systems become integral to 6G and beyond, they face challenges such as high path loss, limited hardware capabilities, and massive data rates. This book provides a comprehensive overview of how sparsity-based methods, including compressed sensing, sparse channel estimation, and dictionary learning, can effectively address these challenges. It delves into both theoretical foundations and practical implementations, covering aspects like beamforming, signal recovery, modulation, detection, and spectrum sensing in THz bands. Readers will gain insights into the integration of sparse models with machine learning and hardware-constrained platforms. Designed for researchers, engineers, and graduate students, the book bridges the gap between advanced signal processing and real-world THz system design, offering a roadmap to build efficient, scalable, and energy-aware wireless communication solutions for the future. 168 pp. Englisch.
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Verlag: LAP Lambert Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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In den WarenkorbPaperback. Zustand: new. Paperback. This book explores cutting-edge techniques and algorithms at the intersection of sparse signal theory and high-frequency wireless communication. As terahertz (THz) systems become integral to 6G and beyond, they face challenges such as high path loss, limited hardware capabilities, and massive data rates. This book provides a comprehensive overview of how sparsity-based methods, including compressed sensing, sparse channel estimation, and dictionary learning, can effectively address these challenges. It delves into both theoretical foundations and practical implementations, covering aspects like beamforming, signal recovery, modulation, detection, and spectrum sensing in THz bands. Readers will gain insights into the integration of sparse models with machine learning and hardware-constrained platforms. Designed for researchers, engineers, and graduate students, the book bridges the gap between advanced signal processing and real-world THz system design, offering a roadmap to build efficient, scalable, and energy-aware wireless communication solutions for the future. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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ISBN 10: 6208453089 ISBN 13: 9786208453084
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores cutting-edge techniques and algorithms at the intersection of sparse signal theory and high-frequency wireless communication. As terahertz (THz) systems become integral to 6G and beyond, they face challenges such as high path loss, limited hardware capabilities, and massive data rates. This book provides a comprehensive overview of how sparsity-based methods, including compressed sensing, sparse channel estimation, and dictionary learning, can effectively address these challenges. It delves into both theoretical foundations and practical implementations, covering aspects like beamforming, signal recovery, modulation, detection, and spectrum sensing in THz bands. Readers will gain insights into the integration of sparse models with machine learning and hardware-constrained platforms. Designed for researchers, engineers, and graduate students, the book bridges the gap between advanced signal processing and real-world THz system design, offering a roadmap to build efficient, scalable, and energy-aware wireless communication solutions for the future.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.
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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores cutting-edge techniques and algorithms at the intersection of sparse signal theory and high-frequency wireless communication. As terahertz (THz) systems become integral to 6G and beyond, they face challenges such as high path loss, limited hardware capabilities, and massive data rates. This book provides a comprehensive overview of how sparsity-based methods, including compressed sensing, sparse channel estimation, and dictionary learning, can effectively address these challenges. It delves into both theoretical foundations and practical implementations, covering aspects like beamforming, signal recovery, modulation, detection, and spectrum sensing in THz bands. Readers will gain insights into the integration of sparse models with machine learning and hardware-constrained platforms. Designed for researchers, engineers, and graduate students, the book bridges the gap between advanced signal processing and real-world THz system design, offering a roadmap to build efficient, scalable, and energy-aware wireless communication solutions for the future.
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Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208453089 ISBN 13: 9786208453084
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