Elements of Information Theory av Thomas M. (Stanford University California) Cover, Joy A. (IBM T. J. Watson Research Center Yorktown Heights New York

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The latest edition of this classic is updated with new problem sets and material<br><br><br> The Second Edition of this fundamental textbook maintains the book''s tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.<br><br> All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.<br><br> The Second Edition features:<br> * Chapters reorganized to improve teaching<br> * 200 new problems<br> * New material on source coding, portfolio theory, and feedback capacity<br> * Updated references<b