On non-scale-invariant infinitely divisible cascades

被引:54
作者
Chainais, P [1 ]
Riedi, R
Abry, P
机构
[1] Univ Clermont Ferrand, LIMOS, UMR 2239, CNRS, F-63173 Aubiere, France
[2] Rice Univ, Dept Stat, Houston, TX 77251 USA
[3] ENS, Phys Lab, UMR 5672, CNRS, Lyon, France
基金
美国国家科学基金会;
关键词
fractional Brownian motion; infinitely divisible cascades (IDC); multifractal; multiplicative cascades; multiscaling; random walk; turbulence;
D O I
10.1109/TIT.2004.842570
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multiplicative processes, multifractals, and more recently also infinitely divisible cascades have seen increased popularity in a host of applications requiring versatile multiscale models, ranging from hydrodynamic turbulence to computer network traffic, from image processing to economics. The methodologies prevalent as of today rely to a large extent on iterative schemes used to produce infinite detail and repetitive structure across scales. While appealing, due to their simplicity, these constructions have limited applicability as they lead by default to power-law progression of moments through scales, to nonstationary increments and often to inherent log-periodic scaling which favors an exponential set of scales. This paper studies and develops a wide class of infinitely divisible cascades (IDC), thereby establishing the first reported cases of controllable scaling of moments in non-power-law form. Embedded in the framework of IDC, these processes exhibit stationary increments and scaling over a continuous range of scales. Criteria for convergence, further statistical properties, as well as MATLAB routines are provided.
引用
收藏
页码:1063 / 1083
页数:21
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