Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Juni 2026
Genre:	Naturwissensch., Medizin, Technik
	AI-driven wireless communication / Communications Engineering, Networks / Computer Communication Networks / Conventional Communication Systems / Intelligent Wireless Communication / Joint Coding for Semantic Communications / joint source-channel coding / machine learning / Maschinelles Lernen / Netzwerk-Hardware / Semantic Communication mehr...
ISBN:	9783032110046
EAN-Code:	9783032110046
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 279 mm / B 210 mm / D
Seiten:	196
Illustration:	XIX, 196 p. 105 illus., 14 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This textbook provides a comprehensive, step-by-step guide to Semantic Communications, focusing on how deep learning enhances its performance in modern communication systems. The purpose of the book is to offer students, researchers, and engineers a solid understanding of the theoretical principles and practical applications of semantic communication. The text builds from foundational concepts to advanced topics, making it suitable for graduate-level courses and beyond, while also serving as a reference for professionals looking to incorporate semantic communication into real-world systems. By moving beyond conventional data transmission to focus on meaning and intent, this textbook highlights how AI and deep learning are revolutionizing joint source-channel coding, bandwidth optimization, and task-oriented communications. With a strong emphasis on 6G and next-generation networks, this book offers a comprehensive guide to the theoretical foundations and practical applications of semantic communication, making it an essential resource for researchers, students, and professionals shaping the future of AI-driven telecommunications. The book features discussion questions, MATLAB or Python code for experiments and simulations related to semantic communication systems, PowerPoint slides for instructors, and a solutions manual. Combines theoretical principles with practical implementations of semantic communication systems; Addresses the foundational concepts and the hands-on application of deep learning to improve communication efficiency; Features discussion questions, MATLAB code for experiments, PowerPoint slides for instructors, and a solutions manual.