In part 1, we started to make some intuitive connections between near-Nyquist sampling, the addition of close-frequency sines, and how those signals would interact with perfect LP filters. Let's put ...

A look at the Nyquist sampling theorem. How to deal with aliasing by attenuating signals using low-pass filters (i.e., an antialiasing filter, or AAF). AAF requirements for different ADCs. A deep dive ...

Over the last few blogs we’ve been looking at DDCs and how frequencies are shifted and folded in the output spectrum. In the last blog, ADC Digital Downconverter: A Complex Decimation Example we ...

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 ...

Sub-Nyquist sampling and Finite Rate of Innovation (FRI) signal processing represent a paradigm shift in the acquisition and reconstruction of signals. Traditional sampling theories require adherence ...

A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics. Their study not only identifies the constraints of conventional sampling ...