Howtosignalprocessing
In signal processing and related disciplines, aliasing is an effect that causes different signals to become indistinguishable (or aliases of one another) when sampled.
- What is the aliasing process?
- What is the meaning of aliasing?
- What is aliasing in signal sampling?
- What is aliasing and types of it?
What is the aliasing process?
Aliasing occurs when an oscilloscope does not sample the signal fast enough to construct an accurate waveform record. The signal frequency is misidentified, and the waveforms displayed on an oscilloscope become indistinguishable. Aliasing is basically a form of undersampling.
What is the meaning of aliasing?
noun. ali·as·ing ˈā-lē-ə-siŋ ˈāl-yə- : an error or distortion created in a digital image that usually appears as a jagged outline. We commonly observe aliasing on television.
What is aliasing in signal sampling?
Aliasing is the effect of new frequencies appearing in the sampled signal after reconstruction, that were not present in the original signal. It is caused by too low sample rate for sampling a particular signal or too high frequencies present in the signal for a particular sample rate.
What is aliasing and types of it?
Aliasing is the visual stair-stepping of edges that occurs in an image when the resolution is too low. Anti-aliasing is the smoothing of jagged edges in digital images by averaging the colors of the pixels at a boundary. The letter on the left is aliased.
