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| − | *Review by | + | *Review by Michael Hayashi |
| − | + | This slecture was prepared very thoughtfully and methodically. If available in the future, I recommend using a high-quality scanner to import the good handwriting on the graphs and sketches. While the math followed a good logical order and the Nyquist theorem was emphasized enough, I feel that including a bullet-point summary of the effects of sampling on the signal (vertical scaling and DTFT vs. CTFT relationships affecting frequency-axis scaling and repetitions) would help the readers greatly. | |
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Revision as of 22:44, 14 October 2014
Questions and Comments for
Frequency domain view of the relationship between a signal and a sampling of that signalPlease post your reviews, comments, and questions below.
- Review by Soonho Kwon
The overall explanations were very clear. Having many graphs made me easy to follow your work and I like the way that you explained in very detail. However, it would have been better if you could have wrote bigger letters because I can't really see whats written on the graphs. But overall, great job!
- Review by Botao Chen
You did a good work! The outline is helpful for me to sort my mind. And a combination with Nyquist theorem is a very point. Because I did the same topic slecture. So I realize something I did not do good in mine when going yours. And maybe you could try to show the difference between the discrete time sampling and the continous time sampling. And maybe a more clear graph will be much better!
- Review by Hyungsuk Kim
I thought that this slecture is great. Some of graphs are handwritten but it is readable and easy to understand about sampling. On every step, it is well explained in words. Great work!
- Review by Yijun Han
It is a great slecture. Everything is well organized and clearly stated. The handwritten graphs clearly show the relationship between signal in time domain and sampled signal in frequency domain and the interpretation of Nyquist condition. Good job.
- Review by Fabian Faes
I thought the text explanations were great and easy to follow, however I found it hard at times to see your hand drawn graphs as on my computer the pictures came out a bit blurry and dark, who knows why. I liked the way you explained aliasing and why we want to avoid it, I think that makes it very clear. Also very appreciated are the mathematical steps at the end where you talk through of how the sampling in the frequency domain occurs.
- Review by Xian Zhang
I thought it might be better if you have digital graph of the materials you are talking about. Besides this, all other statements are very clear and helpful.
- Review by Michael Hayashi
This slecture was prepared very thoughtfully and methodically. If available in the future, I recommend using a high-quality scanner to import the good handwriting on the graphs and sketches. While the math followed a good logical order and the Nyquist theorem was emphasized enough, I feel that including a bullet-point summary of the effects of sampling on the signal (vertical scaling and DTFT vs. CTFT relationships affecting frequency-axis scaling and repetitions) would help the readers greatly.
- Review by student 8
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