Karthik Visweswariah, Sanjeev Kulkarni, et al.
IEEE International Symposium on Information Theory - Proceedings
Many of nature's seemingly complex shapes can be effectively characterized and modeled as random fractals based on generalizations of fractional Brownian motion, fBm. As a function of one dimension, t, the trace VH(t) provides a model for the "1/f{hook}" noises. Extending fBm's to higher dimensions gives VH(x,y) as landscapes and VH(x,y,z) as clouds. Although all such fBm's are statistically self-affine, as characterized by the parameter H or the spectral density exponent β, either zerosets or trails of independent fBm's are statistically self-similar and may be represented by the fractal dimension D. © 1989.
Karthik Visweswariah, Sanjeev Kulkarni, et al.
IEEE International Symposium on Information Theory - Proceedings
Elizabeth A. Sholler, Frederick M. Meyer, et al.
SPIE AeroSense 1997
David L. Shealy, John A. Hoffnagle
SPIE Optical Engineering + Applications 2007
Imran Nasim, Michael E. Henderson
Mathematics