`#include "MusimatChapter9.h"`

Go to the source code of this file.

## Functions | |

MusimatChapter9Section (C091704c) |

MusimatChapter9Section | ( | C091704c | ) |

Definition at line 2 of file C091704c.cpp.

{ Print("*** Fractional Brownian Motion ***"); /***************************************************************************** Fractional Brownian Motion The preceding Brownian number generator produces a high degree of local similarity because subsequent points are constrained to remain relatively close to previous points. But because the random increment at each step is independent, Brownian motion typically only shows self-similarity in a region of its spectrum, so its fractal quality degenerates with scaling. Fractional Brownian motion (fBm) is like Brownian motion, but the increments are no longer independent. Instead, just as low-frequency ocean waves extend their influence over many cycles of higher-frequency waves, in fBm, local rapidly fluctuating values are influenced by broader, slower-moving values extending proportionately over the entire spectrum. As fBm is magnified, it retains its statistically self-similar shape, and so it is fractal regardless of magnification. Think of it this way. If we had an ideal tape recorder that accurately recorded all frequencies, and we gradually increased the speed of a tape recording of Brownian noise, the character of the noise would change (from a relatively low-frequency "whoosh" to a higher-frequency "whish"). But a recording of fBm noise will sound the same regardless of playback speed. All speeds sound the same because both the signal and the spectrum are self-similar at all levels of scale. A number of methods can be used to generate fBm noises. *****************************************************************************/ }

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