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| + | I really liked your slecture. I would recommend re-sizing the graphs as they are relatively simple and do not need to be that large to convey the meaning of the graph. | ||
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Revision as of 22:09, 14 October 2014
Questions and Comments for
Frequency domain view of the relationship between a signal and a sampling of that signalA slecture by ECE student Botao Chen
Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.
Please post your reviews, comments, and questions below.
- Review by Miguel Castellanos
You have a great organization of your derivations and examples. Your first derivation helps ease the transition between continuous sampled signals and discrete sampled signals. The figures are good graphical represenations of the expressions you derive. A small source of confusion is that your final figure plots a function in terms of ω but your x-axis is in terms of f. Great job, overall!
- Author answer here
- Review by Yerkebulan Y.
- You gave very good explanation of difference between FT of original signal x(t), sampled signal xs(t) and discrete signal xd[n]. Graphs in frequency domain help to understand this difference. You did a really good job !
- Author answer here
- Review by Andrew Pawling
The mathematical derivations are great! The plots work and help illustrate the difference. The last plot needs to be labeled with $ \omega $ on the x-axis instead of $ f $, so that was a little confusing. But other than that, good job!
- Author answer here
- Review by David Klouda
I really liked your slecture. I would recommend re-sizing the graphs as they are relatively simple and do not need to be that large to convey the meaning of the graph.
- Review by Sahil Sanghani
- The explanations are great. I like the clarifications that you included in your derivation. The derivation was also very clear. As mentioned above, the last plot is labeled wrong, but otherwise this was a great slecture.
