Algebraic and stochastic coding theory

• Verfasst von: Kythe, Dave K [VerfasserIn]
• Titel: Algebraic and stochastic coding theory
• Mitwirkende: Kythe, Prem K [MitwirkendeR]
• Verf.angabe: Dave K. Kythe, Prem K. Kythe.
• Verlagsort: Boca Raton, FL
• Verlag: CRC Press
• E-Jahr: 2012
• Jahr: c2012
• Umfang: 1 online resource (xxiv, 480 p.)
• Illustrationen: ill.
• Fussnoten: Includes bibliographical references (p. 461-480). - Description based on print version record
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Coding theory
• Sach-SW: Stochastic analysis
• Sach-SW: Electronic books
• Sach-SW: Electronic books ; local
• K10plus-PPN: 1680352768
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3608014950
• Lokale URL Inst.: Zum Volltext

Abstract

Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. It explains the underlying principles of coding theory and offers a clear, detailed description of each code. More advanced readers will appreciate its coverage of recent developments in coding theory and stochastic processes. After a brief review of coding history and Boolean algebra, the book introduces linear codes, including Hamming and Golay codes. It then examines codes based on the Galois field theory as well as their application in BCH and especially the Reed-Solomon codes that have been used for error correction of data transmissions in space missions. The major outlook in coding theory seems to be geared toward stochastic processes, and this book takes a bold step in this direction. As research focuses on error correction and recovery of erasures, the book discusses belief propagation and distributions. It examines the low-density parity-check and erasure codes that have opened up new approaches to improve wide-area network data transmission. It also describes modern codes, such as the Luby transform and Raptor codes, that are enabling new directions in high-speed transmission of very large data to multiple users. This robust, self-contained text fully explains coding problems, illustrating them with more than 200 examples. Combining theory and computational techniques, it will appeal not only to students but also to industry professionals, researchers, and academics in areas such as coding theory and signal and image processing.