Lecture

Fourier Transform: Basics and Applications

In course

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Description

This lecture covers the basics of Fourier transform, including spectral density, matrix elements, and the role of particle states. The instructor explains the significance of fixed angular momentum states and the computation of matrix elements. The lecture emphasizes the importance of considering states with specific angular momenta and the implications for mass calculations.

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Instructors (4)

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Official source

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

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Information engineering

Signal processing: Fourier analysis

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