Lecture

Signal Sampling and Reconstruction

In course

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Description

This lecture covers the concepts of signal sampling and reconstruction, including impulse trains, band-limited signals, the sampling theorem, aliasing, and examples of signal reconstruction using low-pass filters. The instructor explains the process of reconstructing a signal from its samples, ensuring the sampling theorem is satisfied to avoid aliasing. Various examples are provided to illustrate the application of these concepts in practice.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_eye246do

About this result

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Ontological neighbourhood

Information engineering

Signal processing: Sampling theory, Filtering theory

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