Bibliografie

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Fundamentals of Convolutional Coding

eBook - IEEE Series on Digital & Mobile Communication
ISBN/EAN: 9781119098751
Umbreit-Nr.: 8206889

Sprache: Englisch
Umfang: 688 S., 5.19 MB
Format in cm:
Einband: Keine Angabe

Erschienen am 19.05.2015
Auflage: 2/2015


E-Book
Format: PDF
DRM: Adobe DRM
€ 123,99
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  • Zusatztext
    • <p><i>Fundamentals of Convolutional Coding, Second Edition,</i> regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field</p><ul><li>Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding</li><li>Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes</li><li>Distance properties of convolutional codes</li><li>Includes a downloadable solutions manual</li></ul>

  • Kurztext
    • 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

  • Autorenportrait
    • <p><b>Rolf Johannesson</b> is Professor Emeritus of Information Theory at Lund University, Sweden, and a Fellow of the IEEE. He was awarded the honor of Professor,<i>honoris causa</i>, 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.</p><p><b>Kamil Sh. Zigangirov</b> 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.</p>
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