Lecture

Sampling Theorem

Description

This lecture covers the historical background of the sampling theorem, mentioning key figures like Whittaker, Nyquist, Kotelnikov, Raabe, and Shannon. It explains the statement of the theorem, illustrating it with the reconstruction of a pure sinusoidal signal. Practical examples show the impact of different sampling frequencies on signal reconstruction, highlighting the importance of meeting the Nyquist criterion. The lecture concludes by discussing the ambiguity in determining the original signal frequency from sampled values. The demonstration involves proving implications based on signal bandwidth and sampling frequency, emphasizing the conditions for accurate signal reconstruction.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.