Today we're discussing Claude Shannon's 1948 paper, "A Mathematical Theory of Communication," describing it as a foundational work in information theory and computer science.

Here's the PDF: https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf

The second source offers excerpts from Shannon's paper itself, exploring the mathematical foundations of communication, including concepts like channel capacity, information entropy, and efficient coding for both discrete and continuous signals in the presence or absence of noise.

The paper introduces a logarithmic measure of information and applies probabilistic models to analyze communication systems. It also examines the relationship between a communication system’s capacity and the information source's entropy. Finally, it proposes methods for efficient coding to minimize errors and maximize information transmission.

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#entropy

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