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 ...

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 ...

Information theory is a branch of mathematics and computer science that deals with the representation, transmission, and manipulation of information. It is based on a number of generally accepted ...

In this month's look at the history of cybersecurity, David Kalat looks back at how one man's frustration at losing time led to one of the great breakthroughs in information theory. Telecommunications ...

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, ...

1. Basic Information and Coding Theorems: entropy, Huffman Codes, Mutual Information, Channel Capacity, Shannon’s theorems; 2. Error Control Coding: Coding ...

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 ...

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

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 ...