Neblux Knowledge Graph
Publication of Shannon's Communication Theory
The publication of Claude Shannon's 1948 paper 'A Mathematical Theory of Communication' established mathematical foundations for quantifying, transmitting, and storing information.
Overview
Shannon defined information content in terms of probability, where less probable messages carry greater information, and introduced source entropy as a formal measure of uncertainty. His theorems showed that channels have finite capacities and that reliable transmission can occur at rates below capacity when appropriate coding is applied.
Why it matters
This publication established the core framework of information theory and provided the theoretical basis for data compression, error-correcting codes, and digital telecommunications.
What it builds on
Related concepts
- Claude ShannonhistoricalFounding of Information Theory historically shaped the development and interpretation of Claude Shannon across contexts.
- Thermodynamic EntropyappliedFounding of Information Theory is applied through practical methods that strengthen real-world work in Entropy.
- Probability TheoryappliedFounding of Information Theory is applied through practical methods that strengthen real-world work in Probability Theory.