Add to ORKGIn current research, Fractal Brownian motion is analyzed using Direct and Inverse Continuous Wavelet Transform, wavelet coefficients probability density function is estimated, wavelet coefficients lower and upper bounds are calculated using Mexican hat mother wavelet function. At the end estimation results are illustrated
In this paper, we propose a method using continuous wavelets to study the multivariate fractio...
The multifractal formalism for singular measures is revisited using the wavelet transform. For Berno...
Let X be a continuous fractional Brownian motion with parameter of self-similarity H. Let \psi be a ...
In current research, Fractal Brownian motion is analyzed using Direct and Inverse Continuous Wavelet...
According to research results, Wavelet coecients of Fractal Brownian process upper interval bound de...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
Abstract: This research paper demonstrates a method to analyze effect of refinement, fractal index a...
Abstract. In this paper, we shall use the methods of wavelet analysis to study the fundamental stoch...
Conference PaperThe multifractal spectrum characterizes the scaling and singularity structures of si...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
Reflects the developments in the area of wavelet analysis and its applications. This work includes t...
In this paper, we propose a method using continuous wavelets to study the multivariate fractio...
The multifractal formalism for singular measures is revisited using the wavelet transform. For Berno...
Let X be a continuous fractional Brownian motion with parameter of self-similarity H. Let \psi be a ...
In current research, Fractal Brownian motion is analyzed using Direct and Inverse Continuous Wavelet...
According to research results, Wavelet coecients of Fractal Brownian process upper interval bound de...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
Abstract: This research paper demonstrates a method to analyze effect of refinement, fractal index a...
Abstract. In this paper, we shall use the methods of wavelet analysis to study the fundamental stoch...
Conference PaperThe multifractal spectrum characterizes the scaling and singularity structures of si...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
In this article fractal scale exponent estimation approach using Continuous Wavelet Transform is con...
Reflects the developments in the area of wavelet analysis and its applications. This work includes t...
In this paper, we propose a method using continuous wavelets to study the multivariate fractio...
The multifractal formalism for singular measures is revisited using the wavelet transform. For Berno...
Let X be a continuous fractional Brownian motion with parameter of self-similarity H. Let \psi be a ...