Lecture

Poisson Process: Impulsive Noise

Description

This lecture covers the Poisson process, focusing on impulsive noise and shot noise models. It explains the mathematical representation of shot noise, the relationship between different random variables, and the calculation of various parameters. The lecture also delves into the concept of impulse response and its application in signal processing.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_pdydg6ln

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Mathematics

Number theory: Number theory

Information engineering

Signal processing: Digital image processing

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