New Methods for Simulation of Fractional Brownian Motion
โ Scribed by Z.-M. Yin
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 278 KB
- Volume
- 127
- Category
- Article
- ISSN
- 0021-9991
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โฆ Synopsis
approximation is good only if the frequency ( f ) is relatively large [14, pp. 155-158, 247]. Consequently, inaccuracy in
We present new algorithms for simulation of fractional Brownian motion (fBm) which comprises a set of important random functions simulation of fBm, resulting from the Fourier filtering widely used in geophysical and physical modeling, fractal image methods is inevitable (see [11, pp. 82-109] for general (landscape) simulating, and signal processing. The new algorithms, discussion). Besides, Felder [15, proposed an which are both accurate and efficient, allow us to generate not only a algorithm which is based on Mandelbrot and von Ness' one-dimensional fBm process, but also two-and three-dimensional work [2]. This algorithm can simulate accurately one-fBm fields.
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We consider the approximation of a fractional Brownian motion by a wavelet series expansion at resolution 2 -l . The approximation error is measured in the integrated mean squared sense over finite intervals and we obtain its expansion as a sum of terms with increasing rates of convergence. The depe
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