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 ...

If you haven’t come across compressive sensing, you will do soon. It’s a way of sampling and reconstructing an analogue signal at a rate far lower than standard information theory would deem possible.

Over the years, I've encountered many engineers (a majority in fact) who are still puzzled by the subtleties of sampling. Even though they may know some mathematical basics, or have some idea of how ...