An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no pr

Johnson, Jr.; Harris, Greg A.; Hankerson, D.C.

INFORMATION THEORY: Elementary Probability. Information and Entropy. Channels and Channel Capacity. Coding Theory. DATA COMPRESSION: Lossless Data Compression by Replacement Schemes. Arithmetic Coding. Higher-Order Modeling. Adaptive Methods. Dictionary Methods. Transform Methods and Image Compression. Appendices. Bibliography. Index.