Signal Processing: Sampling and Reconstruction

In course

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Description

This lecture covers the concepts of Fourier transform, sampling, and reconstruction in signal processing. It explains the Nyquist frequency, ideal reconstruction, and the conditions for perfect signal reconstruction from samples.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_jzfvfpj2

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Ontological neighbourhood

Information engineering

Signal processing: Sampling theory

Statistics

Data collection: Statistical sampling

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