One of the most important key technologies for digital
communication systems as well as storage media is coding theory. It
provides a means to transmit information across time and space over
noisy and unreliable communication channels.
Coding Theory: Algorithms, Architectures and Applications
provides a concise overview of channel coding theory and practice,
as well as the accompanying signal processing architectures. The
book is unique in presenting algorithms, architectures, and
applications of coding theory in a unified framework. It covers the
basics of coding theory before moving on to discuss algebraic
linear block and cyclic codes, turbo codes and low density parity
check codes and space-time codes. Coding Theory provides algorithms
and architectures used for implementing coding and decoding
strategies as well as coding schemes used in practice especially in
communication systems.
Feature of the book include:
* Unique presentation-like style for summarising main
aspects
* Practical issues for implementation of coding techniques
* Sound theoretical approach to practical, relevant coding
methodologies
* Covers standard coding schemes such as block and convolutional
codes, coding schemes such as Turbo and LDPC codes, and space time
codes currently in research, all covered in a common framework with
respect to their applications.
This book is ideal for postgraduate and undergraduate students
of communication and information engineering, as well as computer
science students. It will also be of use to engineers working in
the industry who want to know more about the theoretical basics of
coding theory and their application in currently relevant
communication systems
A propos de l’auteur
Dr. Andre Neubauer, Münster University of Applied
Sciences, Germany
Jürgen Freudenberger, HTWG Konstanz, University of
Applied Sciences, Germany
Volker Kühn, University of Rostock, Germany
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