Filtering before Sampling

In course

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Description

This lecture discusses the importance of filtering a signal before sampling it, to avoid the stroboscopic effect caused by undersampling. Various solutions are presented, including spectral decomposition and the use of ideal low-pass filters. Examples with sound signals are provided to illustrate the concepts.

In MOOCs (2)

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_rh2klr1x

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Ontological neighbourhood

Information engineering

Signal processing: Filtering theory

Statistics

Data collection: Statistical sampling

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