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  2. Perlin noise - Wikipedia

    en.wikipedia.org/wiki/Perlin_noise

    Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.

  3. Worley noise - Wikipedia

    en.wikipedia.org/wiki/Worley_noise

    Worley noise, also called Voronoi noise and cellular noise, is a noise function introduced by Steven Worley in 1996. Worley noise is an extension of the Voronoi diagram that outputs a real value at a given coordinate that corresponds to the Distance of the nth nearest seed (usually n=1) and the seeds are distributed evenly through the region.

  4. Scenery generator - Wikipedia

    en.wikipedia.org/wiki/Scenery_generator

    Common techniques include Simplex noise, fractals, or the diamond-square algorithm, which can generate 2-dimensional heightmaps. A version of scenery generator can be very simplistic. Using a diamond-square algorithm with some extra steps involving fractals an algorithm for random generation of terrain can be made with only 120 lines of code.

  5. Atmospheric noise - Wikipedia

    en.wikipedia.org/wiki/Atmospheric_noise

    Atmospheric noise and variation is also used to generate high quality random numbers. Unlike pseudorandom number generators (PRNGs), which use algorithms and are inherently deterministic, true random number generators (TRNGs) can derive randomness from physical phenomena. [9] RANDOM.ORG leverages atmospheric noise to generate truly random numbers.

  6. Noise generator - Wikipedia

    en.wikipedia.org/wiki/Noise_generator

    Zener diode based noise source. A noise generator is a circuit that produces electrical noise (i.e., a random signal). Noise generators are used to test signals for measuring noise figure, frequency response, and other parameters. Noise generators are also used for generating random numbers. [1]

  7. Brownian noise - Wikipedia

    en.wikipedia.org/wiki/Brownian_noise

    In science, Brownian noise, also known as Brown noise or red noise, is the type of signal noise produced by Brownian motion, hence its alternative name of random walk noise. The term "Brown noise" does not come from the color , but after Robert Brown , who documented the erratic motion for multiple types of inanimate particles in water.

  8. Subsurface mapping by ambient noise tomography - Wikipedia

    en.wikipedia.org/wiki/Subsurface_mapping_by...

    The pre-processing of ambient noise data refers to the filtering of the raw data before proceeding to further analysis (cross-correlation, inversion). Raw seismic data can be collected by either geophones, seismometers, or from authorized official bodies. There are also public ambient noise source maps available in recent years. [8]

  9. MyNoise - Wikipedia

    en.wikipedia.org/wiki/MyNoise

    MyNoise Developer(s) Dr. Ir. Stéphane Pigeon Website mynoise.net MyNoise (stylised as myNoise) is a white noise website and app created by Stéphane Pigeon. It offers many different natural soundscapes, as well as synthetic noises such as white noise. History MyNoise was created in 2013 by Stéphane Pigeon, a Belgian audio processing engineer, sound designer, and electrical engineer. By April ...