Synthesis of bidimensional α-stable models with long-range dependence
Signal Processing - Signal processing with heavy-tailed models
Second Order Structure of Scale-Space Measurements
Journal of Mathematical Imaging and Vision
Measurement-based findings in teletraffic (I)
IMCAS'09 Proceedings of the 8th WSEAS international conference on Instrumentation, measurement, circuits and systems
The proposal of the extraction algorithm for desirable skin fractal dimension calculation
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Characterization of second-order isotropic fractional brownian fields
IEEE Transactions on Signal Processing
2D wavelet-based spectra with applications
Computational Statistics & Data Analysis
Two-channel nonseparable wavelets statistically matched to 2-D images
Signal Processing
Efficient fractal dimension calculation method for feature extraction of skin images
International Journal of Biometrics
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Fractional Brownian motion (fBm) provides a useful model for processes with strong long-term dependence, such as 1/fβ spectral behavior. However, fBm's are nonstationary processes so that the interpretation of such a spectrum is still a matter of speculation. To facilitate the study of this problem, another model is provided for the construction of fBm from a white-noise-like process by means of a stochastic or Ito integral in frequency of a stationary uncorrelated random process. Also a generalized power spectrum of the nonstationary fBm process is defined. This new approach to fBm can be used to compute all of the correlations, power spectra, and other properties of fBm. In this paper, a number of these fBm properties are developed from this model such as the TH law of scaling, the power law of fractional order, the correlation of two arbitrary fBm's, and the evaluation of the fractal dimension under various transformations. This new treatment of fBm using a spectral representation is extended also, for the first time, to two or more topological dimensions in order to analyze the features of isotropic n-dimensional fBm