Lecture

Information Theory: Sampling, Quantization, and Communication Systems

Description

This lecture covers the necessary density for spectrum-blind nonuniform sampling subject to quantization, as well as the challenges of distance and noise in communication systems. It delves into Shannon's Information Theory, decoding combinations, and network information theories.

Official source

https://mediaspace.epfl.ch/media/0_m38pz399

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Ontological neighbourhood

Statistics

Data collection: Statistical sampling

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