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  1. Aliasing - Wikipedia

    • In signal processing and related disciplines, aliasing is the overlapping of frequency components resulting from a sample rate below the Nyquist rate. This overlap results in distortion or artifacts when the signal is reconstructed from samples which causes the reconstructed signal to differ from the original continuous signal. Aliasing that occurs in signals … See more

    Description

    When a digital image is viewed, a reconstruction is performed by a display or printer device, and by the eyes and the brain. If the … See more

    Bandlimited functions

    Actual signals have a finite duration and their frequency content, as defined by the Fourier transform, has no upper bound. Some amount of aliasing always occurs when such functions are sampled. Functions … See more

    Bandpass signals

    Sometimes aliasing is used intentionally on signals with no low-frequency content, called bandpass signals. Undersampling, which creates low-frequency aliases, can produce the same result, with less effort, as frequency-s… See more

    Sampling sinusoidal functions

    Sinusoids are an important type of periodic function, because realistic signals are often modeled as the summation of many sinusoids of different frequencies and different amplitudes (for example, with a Fourier seriesSee more

    Historical usage

    Historically the term aliasing evolved from radio engineering because of the action of superheterodyne receivers. When the receiver shifts multiple signals down to lower frequencies, from RF to IF by heterodyning, … See more

    Angular aliasing

    Aliasing occurs whenever the use of discrete elements to capture or produce a continuous signal causes frequency ambiguity.
    Spatial aliasing, particular of angular frequency, … See more

    More examples

    The qualitative effects of aliasing can be heard in the following audio demonstration. Six sawtooth waves are played in succession, with the first two sawtooths having a fundamental frequency of 440 Hz (A4), the se… See more

     
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  2. When the sampling rate is not large enough (not larger than 2B Hz), then interference among adjacent bands will occur, and this results in the phenomenon of aliasing. In this case, the original signal cannot be recovered from the sampled signal.
    www.seas.ucla.edu/dsplab/sa/over.html
    Points to remember: Aliasing is an effect which occurs when the input frequency is half the sampling frequency It causes distortion in reconstructed signals Anti-aliasing filters are used to prevent aliasing Aliasing mainly occurs in digital audio and digital images Aliasing occurs due to sampling rate being too low with respect to Nyquist Rate
    www.geeksforgeeks.org/aliasing-effect/
    Whenever the sampling rate is below the Nyquist rate, the signal of interest is said to be undersampled. Aliasing results when undersampling takes place. Specifically, aliasing arises when two signals override each other and become indistinguishable, a reason why they’re called ‘aliases’ of each other.
    www.testandmeasurementtips.com/the-difference-…
    The Nyquist–Shannon sampling theorem is an essential principle for digital signals to avoid a type of distortion known as Aliasing. Sampling is a process of converting a signal into a sequence of digital values. Aliasing can be prevented with a variety of anti-aliasing tools, such as low-pass filters that filter out high frequencies.
    www.geeksforgeeks.org/nyquist-sampling-theorem/
     
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  5. Aliasing Effect - Definition, Effects, Causes, …

    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 …

  6. Nyquist Sampling Theorem - Statement, Working, …

    Feb 27, 2024 · Nyquist Sampling is a critical theorem that is used to derive the frequency of the signal to reconstruct without aliasing. Aliasing refers to the distortion or unwanted noise that may destroy a signal's integral value.

  7. Basics of Band-Limited Sampling and Aliasing | Analog Devices

  8. 10.5: Aliasing Phenomena - Engineering LibreTexts

    May 22, 2022 · Aliasing is detrimental to many signal processing applications, so in order to process continuous time signals using discrete time tools, it is often necessary to find ways to avoid it other than increasing the sampling rate. …

  9. What is aliasing? What causes it? How to avoid it?

    Nov 28, 2019 · 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 …

  10. 2.2. Aliasing — Digital Signals Theory - Brian McFee

  11. Sampling, Reconstruction, Aliasing, and Anti-Aliasing

  12. Nyquist–Shannon sampling theorem - Wikipedia

  13. 4. Sampling and Aliasing - gatech.edu

  14. Effects of Undersampling (Aliasing) and Anti-Aliasing Filter

  15. Downsampling and Aliasing - Stanford University

  16. Upsampling vs. Oversampling: Understanding the Differences