Howtosignalprocessing
Aliasing is an unwanted case of sampling, where the minimum condition for accurate sampling is not met. Thus there is an overlap in the shifted replicas of the x(ω) signal. Consequently, the x(t) signal can neither be sampled accurately or recovered from its samples.
- What is aliasing and anti-aliasing DSP?
- What is meant by the term aliasing?
- What is sampling and aliasing?
- What is aliasing and its effects?
What is aliasing and anti-aliasing DSP?
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.
What is meant by the term aliasing?
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 sampling and aliasing?
Aliasing is when a continuous-time sinusoid appears as a discrete-time sinusoid with multiple frequencies. The sampling theorem establishes conditions that prevent aliasing so that a continuous-time signal can be uniquely reconstructed from its samples. The sampling theorem is very important in signal processing.
What is aliasing and its effects?
Aliasing is an undesirable effect that is seen in sampled systems. When the input frequency is greater than half the sample frequency, the sampled points do not adequately represent the input signal. Inputs at these higher frequencies are observed at a lower, aliased frequency.
