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 ...

A research team at POSTECH has developed a novel multidimensional sampling theory to overcome the limitations of flat optics.

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 ...

A research team at POSTECH, led by Professor Junsuk Rho, along with M.S./Ph.D. students Seokwoo Kim, Joohoon Kim, Kyungtae ...