(Review by MRH added)
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*Review by Student 1
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*Review by Michael Hayashi
**Author answer here
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The examples you chose illustrated the Fourier transform well. A right arrow would help with the CTFT pair (in <math>\omega</math>) in the first example, and the example seems to flow the wrong direction: <br><math>X(f) = \mathcal{X}(\frac{\omega}{2\pi})</math><br>would more clearly establish that we want to obtain answers in terms of frequcny in Hertz. Ending the second example with a statement about the bidirectional nature of Fourier transform pairs would give even greater power to your examples.
 
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Revision as of 21:25, 14 October 2014


Questions and Comments for Fourier transform as a function of frequency $ \omega $ versus Fourier transform as a function of frequency f

A slecture by ECE student Dauren



Please post your reviews, comments, and questions below.



  • Review by Michael Hayashi

The examples you chose illustrated the Fourier transform well. A right arrow would help with the CTFT pair (in $ \omega $) in the first example, and the example seems to flow the wrong direction:
$ X(f) = \mathcal{X}(\frac{\omega}{2\pi}) $
would more clearly establish that we want to obtain answers in terms of frequcny in Hertz. Ending the second example with a statement about the bidirectional nature of Fourier transform pairs would give even greater power to your examples.


  • Review by Student 2
    • Author answer here

  • Review by Student 3
    • Author answer here

  • Review by Student 4
    • Author answer here

  • Review by Student 5
    • Author answer here


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Basic linear algebra uncovers and clarifies very important geometry and algebra.

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