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  2. Grey noise - Wikipedia

    en.wikipedia.org/wiki/Grey_noise

    Grey noise spectrum The result is that grey noise contains all frequencies with equal loudness , as opposed to white noise , which contains all frequencies with equal energy . The difference between the two is the result of psychoacoustics , more specifically the fact that the human hearing is more sensitive to some frequencies than others.

  3. Colors of noise - Wikipedia

    en.wikipedia.org/wiki/Colors_of_noise

    Noise that has a frequency spectrum of predominantly zero power level over all frequencies except for a few narrow bands or spikes. Note: An example of black noise in a facsimile transmission system is the spectrum that might be obtained when scanning a black area in which there are a few random white spots. Thus, in the time domain, a few ...

  4. Noise (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Noise_(signal_processing)

    Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory .

  5. Coloured Book protocols - Wikipedia

    en.wikipedia.org/wiki/Coloured_Book_protocols

    The Yellow Book defined the Yellow Book Transport Service (YBTS) protocol, also known as Network Independent Transport Service (NITS), which was mainly run over X.25. It was developed by the Data Communications Protocols Unit of the Department of Industry in the late 1970s. It could also run over TCP. [15]

  6. Noise (spectral phenomenon) - Wikipedia

    en.wikipedia.org/wiki/Noise_(spectral_phenomenon)

    Noise in computer graphics refers to various pseudo-random functions used to create textures, including: Gradient noise, created by interpolation of a lattice of pseudorandom gradients Perlin noise, a type of gradient noise developed in 1983; Simplex noise, a method for constructing an n-dimensional noise function comparable to Perlin noise

  7. Gaussian noise - Wikipedia

    en.wikipedia.org/wiki/Gaussian_noise

    In signal processing theory, Gaussian noise, named after Carl Friedrich Gauss, is a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution). [1] [2] In other words, the values that the noise can take are Gaussian-distributed.

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  9. Talk:Colors of noise - Wikipedia

    en.wikipedia.org/wiki/Talk:Colors_of_noise

    The grey noise definition contradicts the notion of white noise being perceived as white. Furthermore, its energy distribution should, according to how it is defined here, be a function of the absolute sound pressure level.