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.

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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? 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 …

Dec 2, 2024 · The Nyquist-Shannon sampling theorem states that a CT signal should be sampled at a rate greater than twice the maximum component frequency (wM) present in the signal. This is the …

4 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_ (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.

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 …

Since an analog signal holds infinite values across time, converting it into a finite set of data points requires strict rules to preserve accuracy. The most important of these rules, which determines the …

The Nyquist–Shannon sampling theorem is a theorem in the field of signal processing which serves as a fundamental bridge between continuous-time signals and discrete-time signals.