Introduction to Convolutional Codes with Applications is an
introduction to the basic concepts of convolutional codes, their
structure and classification, various error correction and decoding
techniques for convolutionally encoded data, and some of the most
common applications. The definition and representations, distance
properties, and important classes of convolutional codes are also
discussed in detail. The book provides the first comprehensive
description of table-driven correction and decoding of
convolutionally encoded data. Complete examples of Viterbi,
sequential, and majority-logic decoding technique are also
included, allowing a quick comparison among the different decoding
approaches. Introduction to Convolutional Codes with Applications
summarizes the research of the last two decades on applications of
convolutional codes in hybrid ARQ protocols. A new classification
allows a natural way of studying the underlying concepts of hybrid
schemes and accommodates all of the new research. A novel
application of fast decodable invertible convolutional codes for
lost packet recovery in high speed networks is described. This
opens the door for using convolutional coding for error recovery in
high speed networks. Practicing communications, electronics, and
networking engineers who want to get a better grasp of the
underlying concepts of convolutional coding and its applications
will greatly benefit by the simple and concise style of
explanation. An up-to-date bibliography of over 300 papers is
included. Also suitable for use as a textbook or a reference text
in an advanced course on coding theory with emphasis on
convolutional codes.
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