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 …

Feb 14, 2026 · 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.

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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.

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 …

Nov 9, 2025 · Nyquist zones provide a structured framework for understanding how continuous analog signals are transformed into discrete digital data. This concept is central to the design of Analog-to …

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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 …

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 …