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<font size="4">Questions and Comments for </font> <font size="4">[[Title of the page|DTFT of a Cosine Signal Sampled Above and Below the Nyquist Frequency]] </font> | <font size="4">Questions and Comments for </font> <font size="4">[[Title of the page|DTFT of a Cosine Signal Sampled Above and Below the Nyquist Frequency]] </font> | ||
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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">'' | + | 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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*Review by Yerkebulan Y.<br> | *Review by Yerkebulan Y.<br> | ||
| − | 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. | + | 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 samples do not lie between -pi and pi. |
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Revision as of 20:35, 14 October 2014
Questions and Comments for DTFT of a Cosine Signal Sampled Above and Below the Nyquist Frequency
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 samples do not lie between -pi and pi.
