In signal processing, the Nyquist frequency (or folding frequency), named after Harry Nyquist, is a characteristic of a sampler, which converts a continuous function or signal into a discrete …

Jul 23, 2025 · The Nyquist Sampling Theorem explains the relationship between the sample rate and the frequency of the measured signal. It is used to suggest that the sampling rate must be …

6 days ago · The Nyquist frequency, also called the Nyquist limit, is the highest frequency that can be coded at a given sampling rate in order to be able to fully reconstruct the signal, i.e., f_ …

What Is the Nyquist Theorem? The Nyquist theorem, also known as the Nyquist–Shannon sampling theorem, defines the conditions under which a continuous-time signal can be …

Designers of data-acquisition systems – especially for precision measurements in process control or automation systems – have routinely designed their systems to operate in the first Nyquist …

Aug 6, 2025 · Frequency Response and the Nyquist Stability Criterion Frequency response is a powerful method to analyze and design control systems based on how they react to sinusoidal …

Jun 23, 2025 · Unravel the Nyquist Sampling Theorem: This article explores the fundamental concept in digital signal processing, detailing how it determines the minimum sampling rate …

Simply stated, the Nyquist criterion requires that the sampling frequency be at least twice the highest frequency contained in the signal, or information about the signal will be lost.

The Nyquist theorem is defined as the principle that the highest frequency that can be accurately represented in a sampled signal is half of the sampling rate. It specifies the minimum sampling …

The Nyquist–Shannon sampling theorem is an essential principle for digital signal processing linking the frequency range of a signal and the sample rate required to avoid a type of …