AbstractWe use a finite set of fractal interpolation functions to generate multiresolution analyses on L2(R) and C0(R). These multiresolution analyses rely on the properties of fractal functions such as self-affiniteness, existence of scaled coupled dilation equations, and the non-integral box dimension of their graph. This dimension serves as an additional parameter to better describe the small-scale structure of the set to be approximated. Concrete examples will be given to illustrate these methods
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
An iterated function system that defines a fractal interpolation function, where ordinate scaling is...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
AbstractWe consider the theory of fractal interpolation surfaces. Algorithms are given allowing the ...
AbstractWe present a method for constructing translation and dilation invariant functions spaces usi...
A continuous function defined on a closed interval can be of unbounded variation with certain fracta...
A continuous function defined on a closed interval can be of unbounded variation with certain fracta...
Natural images can be modelled as patchworks of homogeneous textures with rough contours. The follow...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
AbstractThe calculus of deterministic fractal functions is introduced. Fractal interpolation functio...
This textbook is intended to supplement the classical theory of uni- and multivariate splines and th...
AbstractWe present a method for constructing translation and dilation invariant functions spaces usi...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
Many structures in biological systems are organised in self-similar patterns. These can often be des...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
An iterated function system that defines a fractal interpolation function, where ordinate scaling is...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
AbstractWe consider the theory of fractal interpolation surfaces. Algorithms are given allowing the ...
AbstractWe present a method for constructing translation and dilation invariant functions spaces usi...
A continuous function defined on a closed interval can be of unbounded variation with certain fracta...
A continuous function defined on a closed interval can be of unbounded variation with certain fracta...
Natural images can be modelled as patchworks of homogeneous textures with rough contours. The follow...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
AbstractThe calculus of deterministic fractal functions is introduced. Fractal interpolation functio...
This textbook is intended to supplement the classical theory of uni- and multivariate splines and th...
AbstractWe present a method for constructing translation and dilation invariant functions spaces usi...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
Many structures in biological systems are organised in self-similar patterns. These can often be des...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
In this paper, we have developed a method to compute fractal dimension (FD) of discrete time signals...
An iterated function system that defines a fractal interpolation function, where ordinate scaling is...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...