Wavelet Toolbox |
Fractional Brownian Motion Synthesis Using the Command Line
According to the value of H, the fBm exhibits for H > 0.5, long-range dependence and for H < 0.5, short or intermediate dependence.
Let us give an example of each situation using the wfbm
M-file, which generates a sample path of this process.
% Generate fBm for H = 0.3 and H = 0.7 % Initialize the randn generator randn('state',1) % Set the parameter H and the sample length H = 0.3; lg = 1000; % Generate and plot wavelet-based fBm for H = 0.3 fBm03 = wfbm(H,lg,'plot'); % Reset randn generator and parameter H randn('state',1); H = 0.7; % Generate and plot wavelet-based fBm for H = 0.7 fBm07 = wfbm(H,lg,'plot'); % The last step is equivalent to % Define wavelet and level of decomposition % w = ' db10'; ns = 6; % Generate % fBm07 = wfbm(H,lg,'plot',w,ns);
It appears that fBm07 clearly exhibits a stronger low-frequency component and has, locally, a less irregular behavior.
One-Dimensional Fractional Brownian Motion Synthesis | Fractional Brownian Motion Synthesis Using the Graphical Interface |
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