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*Review by Jacob Holtman
 
*Review by Jacob Holtman
  
The work is very concise and easy to follow. In the introduction it might help to put a mathematical explanation of Nyquist, which is mentioned in the second section. Also color would help to distinguish the different sections of the plot and how when T is too small the parts seen between <span class="texhtml"> − ''p''''i'''''</span>'''''and <span class="texhtml" />'''''<b>p</b>'''''i'' comes from repetitions and not the initial transform k = 0. '''  
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The work is very concise and easy to follow. In the introduction it might help to put a mathematical explanation of Nyquist, which is mentioned in the second section. Also color would help to distinguish the different sections of the plot and how when T is too small the parts seen between <span class="texhtml"> − ''p''''i'''''</span>'''''and &lt;span class="texhtml" /&gt;'''''<b>p</b>'''''i'' comes from repetitions and not the initial transform k = 0. '''  
  
 
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*Review by Yerkebulan Y.<br>
 
*Review by Yerkebulan Y.<br>
  
You clearly explained that if CT signal is&nbsp;sampled above &nbsp;Nyquist rate , there is no aliasing. &nbsp;And if it is below Nyquist rate there is aliasing, and original signal cannot be properly represented because samples do not lie between -pi and pi.&nbsp;
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You clearly explained that if CT signal is&nbsp;sampled above &nbsp;Nyquist rate , there is no aliasing. &nbsp;And if it is below Nyquist rate there is aliasing, and original signal cannot be properly represented because frequencies do not lie between -pi and pi.&nbsp;  
  
 
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Revision as of 20:37, 14 October 2014


Questions and Comments for DTFT of a Cosine Signal Sampled Above and Below the Nyquist Frequency

A slecture by ECE student Andrew Pawling



Please post your reviews, comments, and questions below.



  • Review by Jacob Holtman

The work is very concise and easy to follow. In the introduction it might help to put a mathematical explanation of Nyquist, which is mentioned in the second section. Also color would help to distinguish the different sections of the plot and how when T is too small the parts seen between p'iand <span class="texhtml" />pi comes from repetitions and not the initial transform k = 0.


  • Review by Fabian Faes

The overall flow of the slecture is very easy to follow and understand. I thought the graphs and the accompanying explanations were very easy to follow and understand without too much difficulty. from my point of view I cannot think of something for improvement since I find the mathematics easy to understand and clearly explained. Great Job!


  • Review by Botao Chen

Good job! Your demonstrations are easy to follow and your outlines are very clear. Is is a good reviewing material for me because of your use of graph which strongly support the demonstration. I could clear see what is going on when the Nyquist rule is violated and when it is not.

    • Author answer here

  • Review by Yerkebulan Y.

You clearly explained that if CT signal is sampled above  Nyquist rate , there is no aliasing.  And if it is below Nyquist rate there is aliasing, and original signal cannot be properly represented because frequencies do not lie between -pi and pi. 


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