Lecture 16: Data Compression and Shannon’s Noiseless Coding Theorem

Name: Lecture 16: Data Compression and Shannon’s Noiseless Coding Theorem
Uploaded: 2025-12-17T16:28:28Z
Duration: 1 h 8 min 50 s
Description: We start with the history of data compression. We define a first-order source, and what it means to compress it. We define entropy. We then state and prove Shannon’s noiseless coding theorem, which gives the optimal compression ratio a first-order source.

1:08:50

We start with the history of data compression. We define a first-order source, and what it means to compress it. We define entropy. We then state and prove Shannon’s noiseless coding theorem, which gives the optimal compression ratio a first-order source.