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Questions and Comments for | Questions and Comments for | ||
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− | <font size="4">[[ | + | <font size="4"></font> <font size="4">[[Slecture Topic 7 ECE438|Frequency domain view of the relationship between a signal and a sampling of that signal]] </font> |
− | A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Talha Takleh Omar Takleh | + | A [https://www.projectrhea.org/learning/slectures.php slecture] by [[ECE]] student Talha Takleh Omar Takleh |
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+ | ---- | ||
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+ | Please post your reviews, comments, and questions below. | ||
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+ | *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! | ||
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− | * Review by | + | *Review by Botao Chen |
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+ | 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! | ||
+ | |||
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− | * Review by | + | *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!<br> | ||
+ | |||
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− | * Review by | + | *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. | ||
+ | |||
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− | * Review by | + | *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. | ||
+ | |||
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− | [[ | + | *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 Randall Cochran | ||
+ | |||
+ | The slecture was prepared very well. The only parts I had a problem with were the handwritten graphs. I read the slecture on my tablet and I had a difficult time reading some of them. On my computer I could see them fine, but for some reason the smaller screen made some of them difficult to see. Good job though. | ||
+ | |||
+ | ---- | ||
+ | *Review by Michel Olvera | ||
+ | |||
+ | I really liked your Slecture. The main points of this topic are very clear and easy to follow and the graphs helped me understand the material better. Great job! | ||
+ | |||
+ | ---- | ||
+ | *Review by student 10 | ||
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+ | *Review by student 11 | ||
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+ | *Review by student 12 | ||
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+ | *Review by student 13 | ||
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+ | *Review by student 14 | ||
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+ | *Review by student 15 | ||
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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]] |
Latest revision as of 04:41, 15 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 Randall Cochran
The slecture was prepared very well. The only parts I had a problem with were the handwritten graphs. I read the slecture on my tablet and I had a difficult time reading some of them. On my computer I could see them fine, but for some reason the smaller screen made some of them difficult to see. Good job though.
- Review by Michel Olvera
I really liked your Slecture. The main points of this topic are very clear and easy to follow and the graphs helped me understand the material better. Great job!
- Review by student 10
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- Review by student 11
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- Review by student 12
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- Review by student 13
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- Review by student 14
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- Review by student 15
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