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 ...

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

Information and communication theory, as a research area, investigates the fundamental limits and principles governing the representation, transmission, processing, and storage of information in ...

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 ...

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, ...