Add to ORKGCaption title.Supported by the Office of Naval Research. N00014-91-J-1004 Supported by the Advanced Research Projects Agency. F49620-93-1-0604 Supported by the Air Force Office of Scientific Research. F49620-95-1-0083 Supported by an NSERC-67 Fellowship of the Natural Sciences and Engineering Council of Canada. Includes bibliographical references (p. 7-8).Paul W. Fieguth, Alan S. Willsky
The fractal dimension estimate for two-variable fractional Brownian motion using the maximum likelih...
Multifractal analysis has matured into a widely used signal and image processing tool. Due to the st...
When investigating fractal phenomena, the following questions are fundamental for the applied resear...
In this paper we estimate the fractal dimension of stochastic processes with 1/f-like spectra by app...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
The fractal dimension estimate for two-variable fractional Brownian motion using the maximum likelih...
Multifractal analysis has matured into a widely used signal and image processing tool. Due to the st...
When investigating fractal phenomena, the following questions are fundamental for the applied resear...
In this paper we estimate the fractal dimension of stochastic processes with 1/f-like spectra by app...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
We consider Bayesian inference via Markov chain Monte Carlo for a variety of fractal Gaussian proces...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
International audienceThe aim of this study was to investigate the effects of a linear filter on the...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
A maximum likelihood estimator (MLE) is developed for estimating the fractal dimension of single var...
The multifractal spectrum characterizes the scaling and singularity structures of signals and proves...
The fractal dimension estimate for two-variable fractional Brownian motion using the maximum likelih...
Multifractal analysis has matured into a widely used signal and image processing tool. Due to the st...
When investigating fractal phenomena, the following questions are fundamental for the applied resear...