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| − | * Review by | + | * Review by Sahil Sanghani |
| − | ** | + | **I really like your MATLAB plots of the signals. The aliasing example is especially helpful. Each section has a great explanation, and the derivations are concise and clear. The only suggesting I have is that the reasoning behind applying a LPF could be more emphasized. Great job! |
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[[2014_Fall_ECE_438_Boutin|Back to ECE438, Fall 2014]] | [[2014_Fall_ECE_438_Boutin|Back to ECE438, Fall 2014]] | ||
Revision as of 18:01, 14 October 2014
Questions and Comments for
Please post your reviews, comments, and questions below.
- Review by Jacob Holtman
The examples in this are very helpful to understand how the original signal can be reconstructed from a sampling. The reasoning and procedures to get the LPF would be good because it feels that it is just added, while the reason for the filter is important. The colors on the plots where really helpful but hard to see sometimes. The example of aliasing was really helpful to understand the need to have the correct Nyquist values.
- Author answer here
- Review by Andrew Pawling
The plots in this are very helpful and the colors are great! Some colors like yellow and green are hard to see though. The Nyquist violation example illustrates aliasing very well! Also good explanations with text. Good job!
- Author answer here
- Review by Botao Chen
I am very impressed with these concise graphs provided in this slecture. I can tell you try your best to do this work! You provide a great explanation for each section. Both simple and complicated examples guide others to understand the Nyquist rule. A good job!
- Author answer here
- Review by Sahil Sanghani
- I really like your MATLAB plots of the signals. The aliasing example is especially helpful. Each section has a great explanation, and the derivations are concise and clear. The only suggesting I have is that the reasoning behind applying a LPF could be more emphasized. Great job!
