Lecture

Data Compression and Shannon's Theorem

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_gwzqiv7p

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Ontological neighbourhood

Information engineering

Signal processing: Data compression

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