Series Editor: John B. Anderson
Professor of Communications Engineering
Lund University, Sweden
john_b.anderson@eit.lth.se
John B. Anderson received the Ph.D. in electrical engineering from Cornell University in 1972. He has served as professor of electrical engineering at McMaster University in Canada, Rensselaer Polytechnic Institute in Troy, N.Y., and since 1998 has held the Ericsson Chair in Digital Communication at Lund University, Sweden. He was Director of the Swedish Strategic Research Foundation Center for High Speed Wireless Communication at Lund during 2005-2011, and is now emeritus professor. His research work is in coding and communication algorithms, bandwidth-efficient coding, and data compression. He has served widely as a consultant in these fields.
Dr. Anderson served 14 years on the IEEE Information Theory Society Board of Governors and was President of that Society in 1985. In 1983 and 2006 he was Co-Chair of the IEEE International Symposium on Information Theory. In the IEEE publications sphere, he served terms on the Publications Board of IEEE on three occasions, and was Editor-inChief of IEEE Press during 1994-96 and 2012-13. He founded the IEEE Press book Series on Digital and Mobile Communication in 1998.
Dr. Anderson is an author of 8 books, including most recently DIGITAL TRANSMISSION ENGINEERING, (IEEE Press, 2nd ed. 2005), CODED MODULATION SYSTEMS, (Plenum/Springer, 2003), and BANDWIDTH EFFICIENT CODING (Wiley/IEEE Press, 2017). He is Fellow of the IEEE (1987) and received the Humboldt Research Prize (Germany) in 1991. He received the IEEE Third Millennium Medal in 2000.
Series Editor's Choice
Rolf Johannesson, Kamil Sh. Zigangirov
July 2015
Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding, brings you a clear and comprehensive discussion of the basic principles of this field.
- Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding
- Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes
- Distance properties of convolutional codes
- Includes a downloadable solutions manual