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Aliasing occurs whenever the use of discrete elements to capture or produce a continuous signal causes frequency ambiguity. Spatial aliasing, particular of angular frequency, can occur when reproducing a light field or sound field with discrete elements, as in 3D displays or wave field synthesis of sound.
Aliasing is the effect of overlapping frequency components in the sampled signal due to insufficient sample rate. Learn how to recognize, prevent and demonstrate aliasing with a Python code example and a sine wave.
Mar 21, 2024 · Aliasing is a phenomenon that occurs when a continuous signal is sampled at a frequency that is too low to accurately represent the original signal. Learn about the causes, effects, applications, advantages, disadvantages and prevention of aliasing in signal processing.
Jun 17, 2020 · Aliasing is a phenomenon that occurs when a bandlimited signal is sampled at a rate lower than Nyquist rate. Learn what causes aliasing, how it affects the signal spectrum and how to reduce it with low-pass filters.
Apr 19, 2012 · Aliasing is an effect that causes different signals to become indistinguishable from each other during sampling. Learn how aliasing affects images, videos and audio, and how to correct it with anti-aliasing filters.
Oct 25, 2020 · Explains aliasing in discrete time sampling of continuous time signals. Starts with a practical example and then links it to the Fourier Transform in the fre...
Aliasing. Aliasing occurs when each period of the spectrum of the samples does not have the same form as the spectrum of the original signal. Given a continuous time signals \(x\) with continuous time Fourier transform \(X\), recall that the spectrum \(X_s\) of sampled signal \(x_s\) with sampling period \(T_s\) is given by
