Add to ORKGAn estimator of the self-similarity parameter for certain classes of random processes is presented. Simulation of synthetic data is also treated. The estimator was implemented for both the case 1D and 2D, verifying a high linearity and robustness in the estimation. Finally potential application from real world images such SAR images are also discussed.Sociedad Argentina de Informática e Investigación Operativ
Abstract-The 2D fractional Brownian motion (fBm) model provides a useful tool to model textured surf...
<p>The first row features particular simulations of fractal patterns (fractional Brownian field) gen...
We regard texture as a realization of a stochastic process defined on the square lattice. The model ...
An algorithm is proposed that allows to estimate the self-similarity parameter of a fractal k-dimens...
AbstractAn adaptive sampling scheme is presented for discrete representation of complex patterns in ...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This paper presents a generalized approach to the fractal analysis of self-similar random processes ...
TR-COSC 09/98It is generally accepted that self-similar (or fractal) processes may provide better mo...
It is generally accepted that self-similar (or fractal) processes may provide better models for tel...
Recent studies of real teletraffic data in modern computer networks have shown that teletraffic exhi...
: Teletraffic models based on self similar processes are emerging as promising mathematical represen...
This work investigates the ability of the human visual system to discriminate self-similar Gaussian ...
Abstract: An adaptive sampling scheme is presented for discrete representation of complex patterns i...
A new general fitting method based on the Self-Similar (SS) organization of random sequences is pres...
This review presents and compares different multiscale representations, based on either deterministi...
Abstract-The 2D fractional Brownian motion (fBm) model provides a useful tool to model textured surf...
<p>The first row features particular simulations of fractal patterns (fractional Brownian field) gen...
We regard texture as a realization of a stochastic process defined on the square lattice. The model ...
An algorithm is proposed that allows to estimate the self-similarity parameter of a fractal k-dimens...
AbstractAn adaptive sampling scheme is presented for discrete representation of complex patterns in ...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
This paper presents a generalized approach to the fractal analysis of self-similar random processes ...
TR-COSC 09/98It is generally accepted that self-similar (or fractal) processes may provide better mo...
It is generally accepted that self-similar (or fractal) processes may provide better models for tel...
Recent studies of real teletraffic data in modern computer networks have shown that teletraffic exhi...
: Teletraffic models based on self similar processes are emerging as promising mathematical represen...
This work investigates the ability of the human visual system to discriminate self-similar Gaussian ...
Abstract: An adaptive sampling scheme is presented for discrete representation of complex patterns i...
A new general fitting method based on the Self-Similar (SS) organization of random sequences is pres...
This review presents and compares different multiscale representations, based on either deterministi...
Abstract-The 2D fractional Brownian motion (fBm) model provides a useful tool to model textured surf...
<p>The first row features particular simulations of fractal patterns (fractional Brownian field) gen...
We regard texture as a realization of a stochastic process defined on the square lattice. The model ...