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A classic foundational textbook on information theory and its application to reliable communication. The book develops rigorous mathematical models for sources and communication channels, and covers topics such as entropy, coding for discrete sources, channel capacity, noisy‑channel coding theorem, coding and decoding techniques, and source coding with fidelity criteria. It is designed primarily as a first‑year graduate text for engineers and mathematicians seeking a deep theoretical and practical understanding of communication systems.

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245: $a: Information Theory and Reliable Communication
245: $b:
082: $a:
100: $a: Robert G. Gallager
650: $a: Mathematics
250: $a:
440: $v:
250: $b: John Wiley & Sons, Inc.
250: $c: 1968
020: $a: 978‑0‑471‑29048‑3
300: $a: 588