
Nyquist frequency - Wikipedia
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.
Nyquist Sampling Theorem - GeeksforGeeks
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 …
What Is the Nyquist Theorem - MATLAB & Simulink - MathWorks
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 …
What is the Nyquist Theorem and Why is it Important
Dec 2, 2024 · One way to do this is to sample the analog signal at a minimum of twice the maximum frequency of the wave, as stated by the Nyquist Theorem. As long as we abide by this theorem, our …
Nyquist Frequency -- from Wolfram MathWorld
Dec 22, 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.
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.
Nyquist Theorem - an overview | ScienceDirect Topics
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 - Wikipedia
Harry Theodor Nyquist (/ ˈnaɪkwɪst /, Swedish: [ˈnŷːkvɪst]; February 7, 1889 – April 4, 1976) was a Swedish-American physicist and electronic engineer who made important contributions to …
Nyquist Sampling Rate and Nyquist Interval - GeeksforGeeks
Sep 12, 2024 · The maximum sampling interval is called the Nyquist interval. That means the rate of sampling is equal to the Nyquist rate, then the time interval between any two adjacent samples is …
Nyquist–Shannon sampling theorem - Wikipedia
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.