Simulation noise is a function that creates a divergence-free field. This signal can be used in artistic simulations for the purposes of increasing the perception of extra detail.
The function can be calculated in three dimensions by dividing the space into a regular lattice grid. With each edge is associated a random value, indicating a rotational component of material revolving around the edge. By following rotating material into and out of faces, one can quickly sum the flux passing through each face of the lattice. Flux values at lattice faces are then interpolated to create a field value for all positions.
Noises based on lattices, such as simulation noise and Perlin noise, are often calculated at different frequencies and summed together to form band-limited fractal signals.
Other approaches developed later that use vector calculus identities to produce divergence free fields, such as "Curl-Noise" as suggested by Robert Bridson, and "Divergence-Free Noise" due to Ivan DeWolf. These often require calculation of lattice noise gradients, which are not sometimes not readily available. A naive implementation would call a lattice noise function several times to calculate its gradient, resulting in more computation than is strictly necessary. Unlike these noises, simulation noise has a geometric rational in addition to its mathematical properties. It simulates vortices scattered in space, to produce its pleasing aesthetic.
Famous quotes containing the words noise and/or simulation:
“And its noise as the noise in a dream; and its depth as the roots
of the sea:”
—A.C. (Algernon Charles)
“Life, as the most ancient of all metaphors insists, is a journey; and the travel book, in its deceptive simulation of the journeys fits and starts, rehearses lifes own fragmentation. More even than the novel, it embraces the contingency of things.”
—Jonathan Raban (b. 1942)