A Student's Guide to Coding and Information Theory - Publication
date:February 2012 - 48 b/w illus. 29 tables 38 exercises -
Dimensions: 228 x 152 mm - Weight: 0.34kg - In stock This easy-
to-read guide provides a concise introduction to the engineering
background of modern communication systems, from mobile phones
to data compression and storage. Background mathematics and
specific engineering techniques are kept to a minimum so that
only a basic knowledge of high-school mathematics is needed to
understand the material covered. The authors begin with many
practical applications in coding, including the repetition code,
the Hamming code and the Huffman code. They then explain the
corresponding information theory, from entropy and mutual
information to channel capacity and the information transmission
theorem. Finally, they provide insights into the connections
between coding theory and other fields. Many worked examples are
given throughout the book, using practical applications to
illustrate theoretical defin