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 ...

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 ...

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.