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In signal processing and related disciplines, aliasing refers to an effect that causes different signals to become indistinguishable (or aliases of one another) when sampled.
3
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Visualizing aliasing in Matlab
Yes, there is something to it. The phase increment of each sample of the 2 Hz wave is $2\pi * 2*.05=.2\pi$. The phase increment of each sample of the 18 Hz wave is $2\pi*18*.05=1.8\pi=-.2\pi$. Thus …
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How to predict the spectrum of an aliased/folded signal without looking at the FFT?
The aliasing shifts the signals down to the new Nyquist zone (the region between the negative and positive Nyquist frequencies, -16 MHz and +16 MHz respectively). …
6
votes
Demonstrating the effect of aliasing
You have the right idea, but a key mistake was messing up your results.
n=0:1/Fs:1;
By making the time increments 1/Fs you are implicitly making the time units seconds. In other words, "0" is 0 se …