(New page: On this page, I would like to review the consequences of Aliasing and how to calculate the nyquist rate. As we know, Nyquist rate is equal 2 times the frequency of a signal. In order to...) |
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[[http://www.youtube.com/watch?v=c4-LL6BjyxI&feature=related]] | [[http://www.youtube.com/watch?v=c4-LL6BjyxI&feature=related]] | ||
| − | When it appears as though the wheel is moving backwards, it is obvious that the nyquist rate condition has not been met. However, just because the wheel appears to be moving forward, that does not automatically mean that the nyquist rate has been met. For example if the sampling rate is 5/4T it will appear as though the direction is correct, but the frequency of oscillation will be perceived as half that of the actual. Lets look at an example of a | + | When it appears as though the wheel is moving backwards, it is obvious that the nyquist rate condition has not been met. However, just because the wheel appears to be moving forward, that does not automatically mean that the nyquist rate has been met. For example if the sampling rate is 5/4T it will appear as though the direction is correct, but the frequency of oscillation will be perceived as half that of the actual. Lets look at an example of a one oscillating through zeros. |
Actual: | Actual: | ||
| − | t=1: | + | t=1: 10000000 |
| − | t=2: | + | t=2: 01000000 |
| − | t=3: | + | t=3: 00100000 |
... | ... | ||
sampling period of 4T would yield | sampling period of 4T would yield | ||
| − | + | 10000000 | |
| − | + | 00100000 | |
| − | + | 00001000 | |
| − | + | 00000010 | |
| − | + | 10000000... | |
sampling period of 2T yields: | sampling period of 2T yields: | ||
| − | + | 10000000 | |
| − | + | 00001000 | |
| − | + | 10000000 | |
this example demonstrates why the sampling rate must be higher than the nyquist rate, not less than or equal to...we cannot tell direction. | this example demonstrates why the sampling rate must be higher than the nyquist rate, not less than or equal to...we cannot tell direction. | ||
sampling period of 5/4T | sampling period of 5/4T | ||
| − | + | 10000000 | |
| − | + | 00100000 | |
| − | + | 00001000 | |
| − | + | 00000010 | |
| − | + | 10000000 | |
NOTE: it appears as though it is moving through the zeros in the correct direction, but the frequency perceived by this sampling is incorrect! | NOTE: it appears as though it is moving through the zeros in the correct direction, but the frequency perceived by this sampling is incorrect! | ||
Latest revision as of 18:30, 22 September 2009
On this page, I would like to review the consequences of Aliasing and how to calculate the nyquist rate. As we know, Nyquist rate is equal 2 times the frequency of a signal. In order to guarantee no Aliasing occurs, sampling frequency must be higher than the nyquist rate.
- NOTE: It must be higher than this, not equal to. If it is equal to this the direction of oscillation will not be known.
In the following youtube video, you can see that at some points in the clip the wheel appears as though it is moving backwards, which is obviously incorrect. This is the effect of aliasing which means the nyquist rate has not been met.
[[1]]
When it appears as though the wheel is moving backwards, it is obvious that the nyquist rate condition has not been met. However, just because the wheel appears to be moving forward, that does not automatically mean that the nyquist rate has been met. For example if the sampling rate is 5/4T it will appear as though the direction is correct, but the frequency of oscillation will be perceived as half that of the actual. Lets look at an example of a one oscillating through zeros.
Actual: t=1: 10000000 t=2: 01000000 t=3: 00100000 ...
sampling period of 4T would yield
10000000 00100000 00001000 00000010 10000000...
sampling period of 2T yields: 10000000 00001000 10000000
this example demonstrates why the sampling rate must be higher than the nyquist rate, not less than or equal to...we cannot tell direction.
sampling period of 5/4T 10000000 00100000 00001000 00000010 10000000
NOTE: it appears as though it is moving through the zeros in the correct direction, but the frequency perceived by this sampling is incorrect!
