Theory of Information and Coding
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BeschreibungStudent edition of the classic text in information and coding theory
Inhaltsverzeichnis1. Entropy and mutual information; 2. Discrete memoryless channels and their capacity-cost functions; 3. Discrete memoryless sources and their rate-distortion functions; 4. The Gaussian channel and source; 5. The source-channel coding theorem; 6. Survey of advanced topics for part I; 7. Linear codes; 8. BCH Goppa, and related codes; 9. Convolutional codes; 10. Variable-length source coding; 11. Survey of advanced topics for part II.
Pressestimmen"This is a student edition of a well-written book known for its clarity of exposition, broad selection of classical topics, and accessibility to non-specialists. It presents a nice general introduction to the theory of information and coding, and supplies plenty of technical details. The author manages to elucidate in a unified fashion the interconnections of a number of different branches of information and coding theory, which are often considered separately." - Mathematical Reviews, Andrei Kelarev
Untertitel: Sprache: Englisch.
Verlag: CAMBRIDGE UNIVERSITY PRESS
Erscheinungsdatum: Juli 2004