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.