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Halfway through the 24-second loop, the objects appear to suddenly shift and head in the reverse direction, towards the right. In signal processing and related disciplines, aliasing is the overlapping of frequency components resulting from a sample rate below the Nyquist rate.
Mar 21, 2024 · The aliasing effect, also known as aliasing distortion or simply aliasing, is a phenomenon that occurs in signal processing, particularly in digital signal processing (DSP), when a continuous signal is sampled at a frequency that is too low to accurately represent the original signal.
Aliasing is the effect of overlapping frequency components resulting from unsufficiently large sample rate. In other words, it causes appearance of frequencies in the amplitude-frequency spectrum, that are not in the original signal.
Jun 17, 2020 · In fact, aliasing is the phenomenon in which a high frequency component in the frequency-spectrum of the signal takes identity of a lower-frequency component in the spectrum of the sampled signal.
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 frequency domain.
May 22, 2022 · Aliasing, essentially the signal processing version of identity theft, occurs when each period of the spectrum of the samples does not have the same form as the spectrum of the original signal.
Aliasing (computing) In computing, aliasing describes a situation in which a data location in memory can be accessed through different symbolic names in the program. Thus, modifying the data through one name implicitly modifies the values associated with all aliased names, which may not be expected by the programmer.
This page covers Aliasing basics and mention Anti-Aliasing Technique. The aliasing definition and its use in digital signal processing (DSP) are described. Aliasing occurs due to inadequate sampling used in A to D conversion.
Aliasing is the name we give to the phenomenon when two distinct continuous signals x 1 ( t) and x 2 ( t) produce the same sequence of sample values x [ n] when sampled at a fixed rate f s. More specifically, we usually think of aliasing in terms of pure (sinusoidal) tones x ( t) = A ⋅ cos. ( 2 π ⋅ f ⋅ t + ϕ).
Aliasing is a potential problem whenever an analog signal is point sampled to convert it into a digital signal. It can occur in audio sampling, for example, in converting music to digital form to be stored on a CD-ROM or other digital device.
