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  1. Dictionary
    aliasing
    /ˈeɪlɪəsɪŋ/

    noun

    • 1. the misidentification of a signal frequency, introducing distortion or error: "high-frequency sounds are prone to aliasing"
    • 2. the use of aliases to designate files, commands, addresses, or other items.

    More definitions, origin and scrabble points

  2. en.wikipedia.org › wiki › AliasingAliasing - 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.

  3. 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.

  4. Aliasing is the use of different names to find computer files, commands, addresses, etc. Learn more about the meaning, pronunciation and usage of aliasing with examples from the Cambridge English Corpus.

  5. 19 Apr 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 filters.

  6. 6 hari yang lalu · You'll find anti-aliasing in just about every PC game available today. We're here to tell you what anti-aliasing is, from TAA to FXAA, and explain how it works.

  7. 21 Mac 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.

  8. 17 Jun 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.

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