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 ...

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 ...

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.

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