Title of article :
The fractal energy measurement and the singularity energy spectrum analysis
Author/Authors :
Xiong، نويسنده , , Gang and Zhang، نويسنده , , Shuning and Yang، نويسنده , , Xiaoniu، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
15
From page :
6347
To page :
6361
Abstract :
The singularity exponent (SE) is the characteristic parameter of fractal and multifractal signals. Based on SE, the fractal dimension reflecting the global self-similar character, the instantaneous SE reflecting the local self-similar character, the multifractal spectrum (MFS) reflecting the distribution of SE, and the time-varying MFS reflecting pointwise multifractal spectrum were proposed. However, all the studies were based on the depiction of spatial or differentiability characters of fractal signals. Taking the SE as the independent dimension, this paper investigates the fractal energy measurement (FEM) and the singularity energy spectrum (SES) theory. Firstly, we study the energy measurement and the energy spectrum of a fractal signal in the singularity domain, propose the conception of FEM and SES of multifractal signals, and investigate the Hausdorff measure and the local direction angle of the fractal energy element. Then, we prove the compatibility between FEM and traditional energy, and point out that SES can be measured in the fractal space. Finally, we study the algorithm of SES under the condition of a continuous signal and a discrete signal, and give the approximation algorithm of the latter, and the estimations of FEM and SES of the Gaussian white noise, Fractal Brownian motion and the multifractal Brownian motion show the theoretical significance and application value of FEM and SES.
Keywords :
Fractal energy measurement , Stochastic multifractal Spectrum , Singularity energy spectrum , Fractal sub-band signal , Hausdorff measure
Journal title :
Physica A Statistical Mechanics and its Applications
Serial Year :
2012
Journal title :
Physica A Statistical Mechanics and its Applications
Record number :
1736250
Link To Document :
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