| Line 1: | Line 1: | ||
<br> | <br> | ||
| − | <center><font size="4"> | + | <center><font size="4"></font> |
| − | Questions and Comments for | + | <font size="4">Questions and Comments for </font> <font size="4">[[Fourier Transform as a FUnction of Frequency w versus Frequency f (in Hertz)|Fourier Transform as a Function of Frequency w Versus Frequency f (in Hertz)]] </font> |
| − | </font> | + | |
| − | <font size="4">[[Fourier Transform as a FUnction of Frequency w versus Frequency f (in Hertz)|Fourier Transform as a Function of Frequency w Versus Frequency f (in Hertz)]] </font> | + | |
A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Randall Cochran | A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Randall Cochran | ||
| Line 19: | Line 17: | ||
*Review by Miguel Castellanos | *Review by Miguel Castellanos | ||
| − | The steps you take to find each Fourier transform are well explained, and I really like your use of color to track the important changes from line to line. However, I think it would be clearer if you used different variables for the CTFT in terms of <span class="texhtml">ω</span> and the CTFT in terms of <span class="texhtml">''f''</span>, instead of using <span class="texhtml">''X''</span> for both. | + | The steps you take to find each Fourier transform are well explained, and I really like your use of color to track the important changes from line to line. However, I think it would be clearer if you used different variables for the CTFT in terms of <span class="texhtml">ω</span> and the CTFT in terms of <span class="texhtml">''f''</span>, instead of using <span class="texhtml">''X''</span> for both. |
---- | ---- | ||
| Line 49: | Line 47: | ||
*Review by Yijun Han | *Review by Yijun Han | ||
| − | This slecture is clear on comparing Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f. It would be better if you mention the formula delta(af) = 1/a delta(f) when simplifying X(f). | + | This slecture is clear on comparing Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f. It would be better if you mention the formula delta(af) = 1/a delta(f) when simplifying X(f). |
---- | ---- | ||
| Line 56: | Line 54: | ||
The formulas are derived very well with a good explanation. I especially appreciate your red mark to show the importance to others like the change of 2pi. Just a small suggestion that I believe a category would help more for people to understand and follow your steps. | The formulas are derived very well with a good explanation. I especially appreciate your red mark to show the importance to others like the change of 2pi. Just a small suggestion that I believe a category would help more for people to understand and follow your steps. | ||
| + | |||
| + | <br> | ||
---- | ---- | ||
| + | |||
| + | *Review by Yerkebulan Y. | ||
| + | *You just showed method of changing variables when finding CTFT in hertz. I think, you also need to use ICTFT to verify that first method was right. | ||
| + | |||
| + | ---- | ||
| + | |||
| + | ---- | ||
| + | |||
[[2014 Fall ECE 438 Boutin|Back to ECE438, Fall 2014]] | [[2014 Fall ECE 438 Boutin|Back to ECE438, Fall 2014]] | ||
[[Category:Slecture]] [[Category:Review]] [[Category:ECE438Fall2014Boutin]] [[Category:ECE]] [[Category:ECE438]] [[Category:Signal_processing]] | [[Category:Slecture]] [[Category:Review]] [[Category:ECE438Fall2014Boutin]] [[Category:ECE]] [[Category:ECE438]] [[Category:Signal_processing]] | ||
Revision as of 19:11, 14 October 2014
Questions and Comments for Fourier Transform as a Function of Frequency w Versus Frequency f (in Hertz)
Please post your reviews, comments, and questions below.
- Review by Miguel Castellanos
The steps you take to find each Fourier transform are well explained, and I really like your use of color to track the important changes from line to line. However, I think it would be clearer if you used different variables for the CTFT in terms of ω and the CTFT in terms of f, instead of using X for both.
- Review by Andrew Pawling
The lecture is very clear and easy to understand. I think your lecture would of benefited by adding an clear outline introduction and conclusion. This would better lay out the overall idea of the lecture. The use of red text was an excellent way of showing the changes resulting from the substitution.
- Review by Jacob Holtman
The objective is a little hard to understand at first and so the typo mentioned above is a confusing but once the purpose is understood then the examples are easy to follow and the layout makes sense. In the second example, it might be helpful to explain that there is a multiplication of 2π over 2π.
- Review by Fabian Faes
I thought that the examples and formulas were very well illustrated here and the use of color makes it easier to understand the flow of the steps. I also enjoy the fact that everything is nicely spaced out which makes it easier to read. I do agree that a small introduction and conclusion would be beneficial but it is not crucial if left as it is.
- Review by Soonho Kwon
The introduction and the conclusion parts were not categorized. By categorizing the introduction and the conclusion parts, it would be easier to the reader to understand what is going on. Other than that the equations and the development were very clear and precise and it actually helped me understand this topic.
- Review by Yijun Han
This slecture is clear on comparing Fourier transform as a function of frequency ω versus Fourier transform as a function of frequency f. It would be better if you mention the formula delta(af) = 1/a delta(f) when simplifying X(f).
- Review by Botao Chen
The formulas are derived very well with a good explanation. I especially appreciate your red mark to show the importance to others like the change of 2pi. Just a small suggestion that I believe a category would help more for people to understand and follow your steps.
- Review by Yerkebulan Y.
- You just showed method of changing variables when finding CTFT in hertz. I think, you also need to use ICTFT to verify that first method was right.
