Lecture

Stochastic Models for Communications

In course

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Description

This lecture covers stochastic models for communications, including complete specification, second-order specification, stationarity, ergodicity, power spectral density, white noise, sinusoidal processes, LTI systems, MA and AR processes, Wiener filter, image restoration, and linear prediction coding.

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Instructor

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Official source

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

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Ontological neighbourhood

Statistics

Data analysis: Time series

Systems science and engineering

Systems theory: Chaos theory

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