Coding is an highly integral component of viable and efficient
computer and data communications, yet the often heavy mathematics
that form the basis of coding can prevent a serious and practical
understanding of this important area.
"Coding for Data and Computer Communications" eschews the
complex mathematics and clearly describes the core concepts,
principles, and methods of channel codes ( for error correction),
source codes (for compressing data), and secure codes (for
cryptography, data hiding, and privacy). Conveniently organized and
segmented into three associated parts for these coding types, the
book examines the most important approaches and techniques used to
make the storage and transmission of information (data) fast,
secure, and reliable.
Topics and features:
*Integrates the disciplines of error control, data compression,
and cryptography and data hiding
*Presents material in a logical, clear, and lively way for rapid
learning
*Highly inclusive, balanced coverage for specialists and
nonspecialists
*Contains a chapter on the rarely covered topic of check
digits
*Provides numerous examples, illustrations, and other helpful
learning aids
An essential resource and monograph for all security researchers
and professionals who need to understand and effectively use coding
employed in computers and data communications. Anchored by a clear,
nonmathematical exposition, the book presents all the major topics,
principles, and methods in an accessible style suitable for
professional specialists, nonspecialists, students, and individual
self-study.
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