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Questions and Comments for
 
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<font size="4">Frequency domain view of the relationship between a signal and a sampling of that signal </font>
  
Frequency domain view of the relationship between a signal and a sampling of that signal
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A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Botao Chen
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A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Botao Chen
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Partly based on the [[2014 Fall ECE 438 Boutin|ECE438 Fall 2014 lecture]] material of [[User:Mboutin|Prof. Mireille Boutin]].
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Partly based on the [[2014_Fall_ECE_438_Boutin|ECE438 Fall 2014 lecture]] material of [[user:mboutin|Prof. Mireille Boutin]].
 
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Please post your reviews, comments, and questions below.
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Please post your reviews, comments, and questions below.
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* Review by Miguel Castellanos
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You have a great organization of your derivations and examples. Your first derivation helps ease the transition between continuous sampled signals and discrete sampled signals. The figures are good graphical represenations of the expressions you derive. A small source of confusion is that your final figure plots a function in terms of <math> \omega </math> but your x-axis is in terms of <math> f </math>. Great job, overall!
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*Review by Miguel Castellanos
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You have a great organization of your derivations and examples. Your first derivation helps ease the transition between continuous sampled signals and discrete sampled signals. The figures are good graphical represenations of the expressions you derive. A small source of confusion is that your final figure plots a function in terms of <span class="texhtml">ω</span> but your x-axis is in terms of <span class="texhtml">''f''</span>. Great job, overall!  
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**Author answer here
 
**Author answer here
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* Review by student 2 
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*Review by Yerkebulan Y.
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*You gave very good explanation of difference between FT of original signal x(t), sampled signal&nbsp; x<sub>s</sub>(t) and discrete signal x<sub>d</sub>[n]. Graphs in frequency domain&nbsp; help to understand this difference. You did a really good job ! <br>
 
**Author answer here
 
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* Review by student 3
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*Review by student 3  
 
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* Review by student 4
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*Review by student 4  
 
**Author answer here
 
**Author answer here
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[[2014_Fall_ECE_438_Boutin|Back to ECE438, Fall 2014]]
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[[2014 Fall ECE 438 Boutin|Back to ECE438, Fall 2014]]
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[[Category:Slecture]] [[Category:Review]] [[Category:ECE438Fall2014Boutin]] [[Category:ECE]] [[Category:ECE438]] [[Category:Signal_processing]]

Revision as of 15:43, 14 October 2014


Questions and Comments for Frequency domain view of the relationship between a signal and a sampling of that signal

A slecture by ECE student Botao Chen

Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.



Please post your reviews, comments, and questions below.



  • Review by Miguel Castellanos

You have a great organization of your derivations and examples. Your first derivation helps ease the transition between continuous sampled signals and discrete sampled signals. The figures are good graphical represenations of the expressions you derive. A small source of confusion is that your final figure plots a function in terms of ω but your x-axis is in terms of f. Great job, overall!

    • Author answer here

  • Review by Yerkebulan Y.
  • You gave very good explanation of difference between FT of original signal x(t), sampled signal  xs(t) and discrete signal xd[n]. Graphs in frequency domain  help to understand this difference. You did a really good job !
    • Author answer here

  • Review by student 3
    • Author answer here

  • Review by student 4
    • Author answer here

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