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  2. Aliasing - Wikipedia

    en.wikipedia.org/wiki/Aliasing

    Aliasing in spatially sampled signals (e.g., moiré patterns in digital images) is referred to as spatial aliasing. Aliasing is generally avoided by applying low-pass filters or anti-aliasing filters (AAF) to the input signal before sampling and when converting a signal from a higher to a lower sampling rate.

  3. Aliasing (computing) - Wikipedia

    en.wikipedia.org/wiki/Aliasing_(computing)

    Aliasing can occur in any language that can refer to one location in memory with more than one name (for example, with pointers).This is a common problem with functions that accept pointer arguments, and their tolerance (or the lack thereof) for aliasing must be carefully documented, particularly for functions that perform complex manipulations on memory areas passed to them.

  4. Type aliasing - Wikipedia

    en.wikipedia.org/wiki/Type_aliasing

    Type aliasing is a feature in some programming languages that allows creating a reference to a type using another name. It does not create a new type hence does not increase type safety . It can be used to shorten a long name.

  5. Alias analysis - Wikipedia

    en.wikipedia.org/wiki/Alias_analysis

    Alias analysis is a technique in compiler theory, used to determine if a storage location may be accessed in more than one way.Two pointers are said to be aliased if they point to the same location.

  6. Anti-aliasing filter - Wikipedia

    en.wikipedia.org/wiki/Anti-aliasing_filter

    An anti-aliasing filter (AAF) is a filter used before a signal sampler to restrict the bandwidth of a signal to satisfy the Nyquist–Shannon sampling theorem over the band of interest. Since the theorem states that unambiguous reconstruction of the signal from its samples is possible when the power of frequencies above the Nyquist frequency is ...

  7. Multisample anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Multisample_anti-aliasing

    Multisample anti-aliasing (MSAA) is a type of spatial anti-aliasing, a technique used in computer graphics to remove jaggies. It is an optimization of supersampling, where only the necessary parts are sampled more. Jaggies are only noticed in a small area, so the area is quickly found, and only that is anti-aliased.

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