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 ...

Probabilistic measure of information. Introduction to compression algorithms including L-Z, MPEG, JPEG, and Huffman encoding. Determination of the information handling capacity of communication ...

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 ...

President Obama wants kids to learn to code. So much so, he's pledged billions of dollars to teach them. "Now we have to make sure all our kids are equipped for the jobs of the future – which means ...