Aliasing
Version 1.0.0 · Updated 2026-07-28
CORE DEFINITION
In digital signal processing, aliasing is a phenomenon in which a reconstructed signal from samples of the original signal contains low frequency components that are not present in the original one. This is caused when, in the original signal, there are components at frequencies exceeding a certain frequency called the Nyquist frequency, which is half the sampling rate.
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In digital signal processing, aliasing is a phenomenon in which a reconstructed signal from samples of the original signal contains low frequency components that are not present in the original one.
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Sampling theorem: When the sampling rate is lower than twice the highest frequency of the signal (the Nyquist rate), high-frequency components are incorrectly represented as low-frequency ones (aliasing), causing distortion; in images, it appears as jagged edges; in audio, it causes timbre distortion.
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- en.wikipedia.orghttps://en.wikipedia.org/wiki/Aliasingverified
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