Fundamentals of Convolutional Coding
Language: English
Published by John Wiley and Sons Ltd, 2015
- Hardcover
- New

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Condition: New
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Fundamentals of Convolutional Coding is unmatched in the field for its accessible analysis of the structural properties of convolutional encoders. Series: IEEE Series on Digital & Mobile Communication. Num Pages: 688 pages. BIC Classification: TJKW. Category: (P) Professional & Vocational. Dimension: 167 x 243 x 41. Weight in Grams: 1290. . 2015. 2nd Edition. Hardcover. . . . .
Seller Inventory # V9780470276839
- Title
- Fundamentals of Convolutional Coding
- Author
- Rolf Johannesson
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2015
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470276835
- ISBN 13
- 9780470276839
- Edition
- 2nd Edition
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
"Synopsis" may belong to another edition of this title.
About the Author
Rolf Johannesson is Professor Emeritus of Information Theory at Lund University, Sweden, and a Fellow of the IEEE. He was awarded the honor of Professor, honoris causa, from the Institute for Information Transmission Problems, Russian Academy of Sciences, and elected member of the Royal Swedish Academy of Engineering Sciences. Dr. Johannesson's research interests include information theory, coding theory, and cryptography.
Kamil Sh. Zigangirov is Professor Emeritus of Telecommunication Theory at Lund University, Sweden, and a Fellow of the IEEE. He is widely published in the areas of information theory, coding theory, mathematical statistics, and detection theory. Dr. Zigangirov is the inventor of the stack algorithm for sequential decoding and the co-inventor of the LDPC convolutional codes.
"About the title" may belong to another edition of this title.
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