Lecture 3 | The Fourier Transforms and its Applications

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood continues lecturing on the analysis of periodic phenomena and how it is represented. The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relating the theoretical principles to solving practical engineering and science problems. Complete Playlist for the Course: www.youtube.com EE 261 at Stanford University: eeclass.stanford.edu Stanford University: www.stanford.edu Stanford University Channel on YouTube www.youtube.com

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How to compute a Fourier series: an example

This video is a demonstration on how to compute a Fourier series of a simple given function. I discuss how to calculate the Fourier coefficients through integration and the simplifications involved. Fourier series are an important area of applied mathematics, engineering and physics that are used in solving partial differential equations, such as the heat equation and the wave equation. Fourier series are named after J. Fourier, a French mathematician who was the first to correctly model the diffusion of heat. Fourier series are seen in 2nd-year university mathematics.

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The Fourier Transform- Part I

A short tutorial video on how the Fourier Transform works. The video is designed for those who know what a Fourier Transform is but need to understand at a basic level how it converts time domain signals into the frequency domain.

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