Lecture

Signal Sampling: Interpolation

In course
DEMO: ea exercitation
Cillum ad cupidatat reprehenderit quis excepteur et eu sunt excepteur consequat. Commodo laborum adipisicing incididunt elit incididunt aliquip magna deserunt do consequat eiusmod. Irure aliquip nulla non consequat in minim irure elit aliquip reprehenderit amet adipisicing. In amet culpa est sit et cupidatat.
Login to see this section
Description

This lecture covers the theory of signal sampling, focusing on interpolation functions. It starts with a recap of signal sampling, discussing frequencies, bandwidth, and filtering. The lecture then delves into the reconstruction of a signal from its sampled version, exploring different interpolation techniques such as polynomial fitting and the use of the sinc function. The importance of choosing the right interpolation function for accurate signal reconstruction is emphasized. The lecture concludes with a discussion on the sampling theorem and its significance in signal processing.

Instructor
ullamco qui magna officia
Do irure amet amet culpa excepteur aute quis. Tempor ad quis excepteur pariatur excepteur enim mollit deserunt. Irure consectetur commodo voluptate reprehenderit do. Non et proident et dolore pariatur non laborum anim aliquip.
Login to see this section
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.
Ontological neighbourhood
Related lectures (34)
LTI Systems: Analysis and Properties
Covers the analysis and properties of Linear Time-Invariant (LTI) systems.
Signal Reconstruction: Interpolation
Explores signal reconstruction through interpolation, overfitting challenges, sinc function role, sampling theorem, and bandwidth quiz.
Signal Reconstruction: BasicsMOOC: Information, Calcul, Communication: Introduction à la pensée informatique
Explores signal reconstruction basics, including interpolation techniques and formulas using triangular and sinc functions.
Signal Sampling: General Theorem
Explores signal sampling, emphasizing that any signal is a sum of sinusoids and discussing reconstruction challenges and interpolation techniques.
Sampling Theorem: Illustration
Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.
Show more