Bravo to Harry Nyquist and Claude Shannon! In the 1920s, these gentlemen created the now-well-known Nyquist theorem, which states that when sampling a signal at discrete intervals, the sampling must ...

Wideband signal processing and compressive sensing represent transformative approaches to the acquisition and reconstruction of signals across expansive frequency bands. Traditional methods that ...

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 ...

The concept behind digitizing sound. Working at Bell Labs, Harry Nyquist discovered that it was not necessary to capture the entire analog waveform, and samples of the wave could be taken at various ...

Analog measurement resources in today’s mixed-signal ATE use ADCs, and the test methodologies are based on DSP. Two types of measurement resources are distinguished by the relationship of the test ...

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 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 robust Chinese Remainder Theorem (RCRT) has emerged as a cornerstone in solving phase ambiguity in signal processing, particularly in applications where conventional methods falter due to noise or ...