Lecture

Data Compression and Shannon's Theorem

Description

This lecture discusses lossless data compression, where all letters are coded without exceptions, and the average code length is always greater than or equal to entropy. It explores the relationship between compression, entropy, and data loss, highlighting the threshold effect and the importance of not compressing below the entropy level.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.