Elements of Information Theory

This foundational textbook presents a rigorous yet accessible treatment of information theory, bridging the gap between abstract mathematics and practical engineering applications. Cover and Thomas guide readers through core concepts such as entropy, data compression, channel capacity, and rate distortion, while also addressing network information theory and hypothesis testing. The text is distinguished by its clear, thought-provoking instruction style, which integrates insights from physics, statistics, and electrical engineering to build a solid conceptual foundation.

Description adapted from Open Library ↗.