9786208453084 - Sparse Signal Processing for Terahertz Communication Systems: Terahertz Communication Systems de Sharma, Vaishali; Bhatia, Vimal (8 resultados)

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: 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.

Paperback. Condición: 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 multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condición: 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.

Paperback. Condición: 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.

Taschenbuch. Condición: 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.