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Introduction to Information Theory and Data Compression
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Table of Contents

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.

About the Author

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

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"Statisticians, applied mathematicians, engineers, and computer scientists will find this well-written book useful." -Journal of Statistical Computation and Simulation

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