Joint Source-Channel Coding
За е-книгава
Consolidating knowledge on Joint Source-Channel Coding (JSCC), this book provides an indispensable resource on a key area of performance enhancement for communications networks
Presenting in one volume the key theories, concepts and important developments in the area of Joint Source-Channel Coding (JSCC), this book provides the fundamental material needed to enhance the performance of digital and wireless communication systems and networks.
It comprehensively introduces JSCC technologies for communications systems, including coding and decoding algorithms, and emerging applications of JSCC in current wireless communications. The book covers the full range of theoretical and technical areas before concluding with a section considering recent applications and emerging designs for JSCC. A methodical reference for academic and industrial researchers, development engineers, system engineers, system architects and software engineers, this book:
- Explains how JSCC leads to high performance in communication systems and networks
- Consolidates key material from multiple disparate sources
- Is an ideal reference for graduate-level courses on digital or wireless communications, as well as courses on information theory
- Targets professionals involved with digital and wireless communications and networking systems
За авторот
Andres Kwasinski, Rochester Institute of Technology, USA
Dr. Kwasinski received his Ph.D. degree in Electrical and Computer Engineering from the University of Maryland in 2004. He is currently a Professor with the Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York. Prior to this he was with Texas Instruments Inc., the Department of Electrical and Computer Engineering at the University of Maryland, and Lucent Technologies. Dr. Kwasinski has been a member of the IEEE Signal Processing Magazine Editorial Board, as Associate Editor and Area Editor for over twelve years. He was Editor for the IEEE Transactions on Wireless Communications and IEEE Wireless Communications Letters, the Globecom 2010 Workshop Co-Chair and the Chair of the IEEE Multimedia Technical Committee Interest Group on Distributed and Sensor Networks for Mobile Media Computing and Applications. He is a Senior Member of the IEEE.
Vinay Chande, Qualcomm Inc., USA
Vinay Chande has a Ph.D. in Electrical Engineering from the University of Maryland and his engineering education from Indian Institute of Technology, Mumbai. Dr. Chande works as a Systems Engineer at Wireless Research and Development at Qualcomm Technologies Inc. His current work gives him an opportunity to participate in and witness the advances in millimeter-wave radio bands, unlicensed spectrum access and machine learning for Industrial IoT.
