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Lecture 10 | The Fourier Transforms and its Applications

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Uploaded by on Jul 3, 2008

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood introduces the final operation of convolution to the central limit theorem.

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:
http://www.youtube.com/view_play_list?p=B24BC7956EE040CD

EE 261 at Stanford University:
http://eeclass.stanford.edu/ee261/

Stanford University:
http://www.stanford.edu

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

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LICENSE: Creative Commons (Attribution-Noncommercial-No Derivative Works).

For more information about this license, please read: http://creativecommons.org/licenses/by-nc-nd/3.0/.

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Top Comments

  • excellent lecture :)

  • You have had hair cut as stated in your previous lecture !

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All Comments (19)

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  • Hey, he did get a haircut!

  • @jiggajake724 I tried to post the link of the course but youtube does not allow this (merchadising reasons) you can check on the first lecture, he addresses the website of the class there; you can download not only the notes but also the homeworks, and the exam; if you want to get an idea of how are the problems on this issue, and you can do this even if you do not have an stanford ID.

  • Sparkling clear lecture.

  • @kevinatucla Actually it's translated "the wind of freedom blows". But yes, this guy is really good.

  • Does anyone know the website where you can get his notes. I wanted to look them over because this is the only topic on my actuarial exams syllabus that I don't feel very comfortable doing them. If not I will watch this a couple more times!

  • @kevinatucla

    It means "The wind of freedom blows"

    Thanks for that comment I am german and I didnt realize that before :)

  • Thanks; this helps me not only with the Fourier Transform but somehow I also had an "aha!" about the statistics as well. I am quite slow sometimes; I seem to pick out something at random and get stuck on it for no predictable reason. Perhaps it is related to that nail I drove through my head after watching "Ghostbusters" years ago, when I wanted to be just like Egon.....

  • its exp(-2*pi^2*s^2) in the end, I think.

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