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 ...

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 ...

Nyquist-sampling theory lies at the heart of today's digital-communications systems. It requires that data-conversion systems include antialiasing input filters. Designers need to understand the ...

When electrical engineers hear the name "Nyquist," they think of what Harry Nyquist is best known for: his Sampling Theorem. Evidence of its importance is everywhere. Products like cell phones, audio ...

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.

The minimum sampling rate of 2W samples per second for a signal having maximum frequency of W is called the Nyquist Rate. What is the Nyquist Rate? In data communication, the sampling theorem states ...