Distributed source coding represents a paradigm shift in data compression, wherein multiple correlated sources are encoded independently while still enabling joint decoding. This approach contrasts ...

This course focuses on secure communication built on information theory, which does not assume that an adversary has computational limitations. We will begin from the basics of information theory, ...

Coding, information theory and compression constitute the backbone of modern digital communications and data storage. Grounded in Shannon’s seminal work, information theory quantifies the ...

This course gives students analytical tools to quantify information, perform inference, and study the relationship of information and learning. The course covers information measures, the source and ...

In a video from the early 1950s, Bell Labs scientist Claude Shannon demonstrates one of his new inventions: a toy mouse named Theseus that looks like it could be a wind-up. The gaunt Shannon, looking ...

Information theory addresses the fundamental mathematical limits of communication (error correction), compression, and security, built upon probability theory. This ...