Abstract: This research paper demonstrates a method to analyze effect of refinement, fractal index and item state on statistical behavior of various wavelets and finally we conclude that Haar wavelet type has highest standard deviation, median absolute deviation and mean absolute deviation values in all of the wavelets that we discussed in this paper and dmey wavelet has the lowest standard deviation, mean absolute deviation and median absolute deviation values. We use value of refinement = 10, value of fractal index = 0.1, length =100 and item state =1 in each wavelet type to analyze effect on first order increment and at the same time we analyze statistical behavior of Histogram, cumulative histogram, autocorrelation and FFT (Fast Fourier...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
I. Int rod uct io n1) The wavelet transform have been used mainly in the fields of signal processing...
Processes with stationary n-increments are known to be characterized by the stationarity of their co...
According to research results, Wavelet coecients of Fractal Brownian process upper interval bound de...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
In current research, Fractal Brownian motion is analyzed using Direct and Inverse Continuous Wavelet...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
This article is dedicated for Fractal Brownian process analysis using Continuous Wavelet Transform (...
The multifractal formalism for singular measures is revisited using the wavelet transform. For Berno...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
Abstract: Wavelet based estimators of the H parameter for fractional Brownian motion (fBm) is known ...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
This work provides asymptotic properties of the autocorrelation functions of the wavelet packet coef...
We study and compare the self-similar properties of the fluctuations, as extracted through wavelet c...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
I. Int rod uct io n1) The wavelet transform have been used mainly in the fields of signal processing...
Processes with stationary n-increments are known to be characterized by the stationarity of their co...
According to research results, Wavelet coecients of Fractal Brownian process upper interval bound de...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
In current research, Fractal Brownian motion is analyzed using Direct and Inverse Continuous Wavelet...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
Conference PaperWe study <i>fractional Brownian motions in multifractal time</i>, a model for multif...
This article is dedicated for Fractal Brownian process analysis using Continuous Wavelet Transform (...
The multifractal formalism for singular measures is revisited using the wavelet transform. For Berno...
Physicists and mathematicians are intensely studying fractal sets of fractal curves. Mandelbrot advo...
Abstract: Wavelet based estimators of the H parameter for fractional Brownian motion (fBm) is known ...
The work developed in the paper concerns the multivariate fractional Brownian motion (mfBm) viewed t...
This work provides asymptotic properties of the autocorrelation functions of the wavelet packet coef...
We study and compare the self-similar properties of the fluctuations, as extracted through wavelet c...
International audienceThe work developed in the paper concerns the multivariate fractional Brownian ...
I. Int rod uct io n1) The wavelet transform have been used mainly in the fields of signal processing...
Processes with stationary n-increments are known to be characterized by the stationarity of their co...