Entropy and Mutual Information | Communication Sysyems | SNS Institutions
Автор: Jagadesh M.
Загружено: 2025-10-04
Просмотров: 11
Описание:
#snsinstitutions #snsdesignthinkers #designthinking
Entropy measures the average uncertainty or information content in a communication source. Mutual Information quantifies how much one random variable tells us about another.Together, they form the backbone of Information Theory, guiding compression and coding.Essential for understanding data transmission, efficiency, and secure communication systems.
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