oversampling
Sign in to saveIn signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it. The Nyquist rate is defined as twice the bandwidth of the signal. Oversampling is capable of improving resolution and signal-to-noise ratio, and can be helpful in avoiding aliasing and phase distortion by relaxing anti-aliasing filter performance requirements.
Wikidata facts
- Subclass of
- sampling
Show 3 more facts
- opposite of
- undersampling
- greater than
- Nyquist rate
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Encyclopedic overview
10 sectionsContents
- Motivation
- Anti-aliasing
- Resolution
- Noise
- Example
- Reconstruction
- See also
- Notes
- References
- Further reading
In signal processing, oversampling is the process of sampling a signal at a sampling frequency significantly higher than the Nyquist rate. Theoretically, a bandwidth-limited signal can be perfectly reconstructed if sampled at the Nyquist rate or above it. The Nyquist rate is defined as twice the bandwidth of the signal. Oversampling is capable of improving resolution and signal-to-noise ratio, and can be helpful in avoiding aliasing and phase distortion by relaxing anti-aliasing filter performance requirements.
A signal is said to be oversampled by a factor of N if it is sampled at N times the Nyquist rate.
Excerpted from Wikipedia’s “oversampling” article, available under the CC BY-SA 4.0 licence.