There are many technique to approximate the dimension of fractal sets. A famous technique to approximate the fractal dimension is correlation dimension. In this paper, we propose a new approach to compute the correlation dimension of fractals generated by the Escape Time Algorithm (ETA) and computing the correlation function by Grassberger-Procaccia method, was implemented using the Matlab program. A log ndashlog graph is plotted by matlab program, the result will be an approximate polynomial of degree one (straight line) thatrsquos fits the data in a least square method. The correlation dimension of fractal object is the slope of this straight line
Standard methods for computing the fractal dimensions of time series are usually tested with continu...
This article discusses the interplay in fractal geometry occuring between computer programs for deve...
In this project, we introduce the concept of intrinsic "fractal" dimension of a data set a...
Correlation dimension is used for complexity estimation of fractals or any other data generating pro...
In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fr...
The method of estimation of correlation fractal dimension as the slope of the linear part of the plo...
This bachelor's thesis topic is fractal dimension and its estimations. First chapter is dedicated to...
There are several methods for estimating the fractal dimension of a time series of data such as the ...
Estimation of the fractal dimension by using correlation dimension of precipitation time series play...
This article discusses the interplay in fractal geometry occurring between computer programs for dev...
For many chaotic systems, accurate calculation of the correlation dimension from measured data is di...
publisher[Abstract] For the construction of standard scales in the determination of fractal dimensio...
Abstract—A short review of an algorithm, called Detrending Moving Average, to estimate the Hurst exp...
In this study, we examined the validity of a calculation method that estimates the scaling region in...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
Standard methods for computing the fractal dimensions of time series are usually tested with continu...
This article discusses the interplay in fractal geometry occuring between computer programs for deve...
In this project, we introduce the concept of intrinsic "fractal" dimension of a data set a...
Correlation dimension is used for complexity estimation of fractals or any other data generating pro...
In this paper, the problem of estimating the intrinsic dimension of a data set is investigated. A fr...
The method of estimation of correlation fractal dimension as the slope of the linear part of the plo...
This bachelor's thesis topic is fractal dimension and its estimations. First chapter is dedicated to...
There are several methods for estimating the fractal dimension of a time series of data such as the ...
Estimation of the fractal dimension by using correlation dimension of precipitation time series play...
This article discusses the interplay in fractal geometry occurring between computer programs for dev...
For many chaotic systems, accurate calculation of the correlation dimension from measured data is di...
publisher[Abstract] For the construction of standard scales in the determination of fractal dimensio...
Abstract—A short review of an algorithm, called Detrending Moving Average, to estimate the Hurst exp...
In this study, we examined the validity of a calculation method that estimates the scaling region in...
Fractal and self-similarity are important characteristics of complex networks. The correlation dimen...
Standard methods for computing the fractal dimensions of time series are usually tested with continu...
This article discusses the interplay in fractal geometry occuring between computer programs for deve...
In this project, we introduce the concept of intrinsic "fractal" dimension of a data set a...