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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.

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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 …
Jim Clay's user avatar
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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 …
Jim Clay's user avatar
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3 votes
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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). …
Jim Clay's user avatar
  • 12.2k