Lecture

Sampling and Reconstruction

In course

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Description

This lecture covers the concepts of sampling and reconstruction in signal processing, focusing on Fourier Transform analysis and the design of reconstruction filters. It discusses the mathematical modeling of sampling operations, the Fourier Transform of sampled signals, and the reconstruction process using low-pass filters. The lecture also addresses the challenges in designing reconstruction filters to ensure accurate signal recovery. Various examples and problems are presented to illustrate the theoretical concepts and practical applications of sampling and reconstruction techniques.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_1mc5guh4

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Ontological neighbourhood

Information engineering

Signal processing: Filtering theory, Fourier analysis

Statistics

Data collection: Statistical sampling

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