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 ...

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 ...

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 ...

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 ...