Lecture

Fourier Transform: Basics and Applications

In course

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Description

This lecture covers the basics of the Fourier transform, including its definition, properties, and some particular cases such as the Fourier series for periodic signals and the Dirac comb. It also discusses sampling, reconstruction, deterministic signals, and quantization and coding in the context of signal processing.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_40f15fri

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Ontological neighbourhood

Statistics

Data collection: Statistical sampling

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