Deep Learning Enabled Semantic Communications by Zhijin Qin (.PDF)+
File Size: 23.0 MB
Deep Learning Enabled Semantic Communications by Zhijin Qin, Huiqiang Xie, Zhenzi Weng, Xiaoming Tao
Requirements: .ePUB, .PDF reader, 23.0 MB
Overview: Comprehensive overview of the principles, theories, and techniques behind Deep Learning enabled semantic communications. Deep Learning Enabled Semantic Communications explores the synergy between Deep Learning and semantic communication, particularly in the context of advancing 6G networks. It provides a focused introduction to the subject, systematically covering Deep Learning enabled semantic communication systems and task-oriented semantic transmission paradigms in wireless communication. Deep Learning (DL) is defined as a subset of Machine Learning (ML) that falls under the umbrella of AI. DL leverages numerous classifiers working together based on linear regression followed by specific activation functions. The book reviews various aspects of semantic communications, including information theory, multimodal technologies, semantic noise, and semantic sensing. It explores cutting-edge semantic communication architectures, highlighting their advantages over traditional approaches and their potential to drive the future of intelligent information industry. The book also details applications of Deep Learning-based semantic communication systems across various sources, including text, speech, images, and videos, comprehensively addressing system design, performance optimization, and measurement metrics.
Genre: Non-Fiction > Tech & Devices
Free Download links: