The math behind digital sampling and filtering is fascinating, complex, and full of arcane terms like Nyquist frequency. But I'm barely a good enough mathematician to understand it, let alone try to ...

Aliasing is thankfully becoming a less frequent problem due to improved instrument designs. Users should still be aware of it to prevent time- and money-costly errors. Aliasing is an ever-present ...

Suppose you take a few measurements of a time-varying signal. Let’s say for concreteness that you have a microcontroller that reads some voltage 100 times per second. Collecting a bunch of data points ...

Previous articles in Planet Analog make mention of the “aliasing effect.” Most EEs agree in the importance of the aliasing effect as a noise source and take for granted that anti-aliasing filters are ...

Sampling a signal causes the original signal spectrum (blue) to create sum (purple) and difference (red) frequencies around the sampling frequency, fS. When the difference signals fall into the ...

In an October column about undersampling, I explained how a data acquisition system could use aliasing to move signals within bandwidth x into a lower-frequency portion of the spectrum. That column ...