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 sequence.

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 twice the …

Dec 3, 2025 · 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_ (Nyquist)=1/2nu.

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 sampled and perfectly …

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 rate …

Harry Nyquist was an American physicist and electrical and communications engineer, a prolific inventor who made fundamental theoretical and practical contributions to telecommunications.

The Nyquist-Shannon sampling theorem (Nyquist) states that a signal sampled at a rate F can be fully reconstructed if it contains only frequency components below half that sampling frequency: F/2. This …

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 distortion called aliasing.

For any discrete time series the number of frequencies at which the data can vary will be limited by the Nyquist freqency, which is the highest frequency of variation that the observed data can provide any …