FRACTAL GEOMETRY ANALYSIS OF TURBULENT DATA

被引：48

作者：

MARVASTI, MA ^{[1
]}

STRAHLE, WC ^{[1
]}

机构：

[1] GEORGIA INST TECHNOL,SCH AEROSP ENGN,ATLANTA,GA 30332

来源：

SIGNAL PROCESSING | 1995年 / 41卷 / 02期

关键词：

FRACTALS; DATA ANALYSIS; TURBULENCE;

D O I：

10.1016/0165-1684(94)00100-E

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Fractal geometry methods have been used to analyze various turbulent flow data. Due to the chaotic nature of turbulence, fractal geometry offers a method of analysis which is natural to spatial and time series data. Fractal tools used here are the fractal dimension, linear fractal interpolation, and hidden variable fractal interpolation. A new method for computing the fractal dimension has been devised which can obtain the dimension of typical turbulent data by using as few as 500 data points. Two methods of performing hidden variable fractal interpolation have been developed and shown to be very effective in estimating various statistical moments of some correlated turbulent data.

引用

页码：191 / 201

页数：11

共 11 条

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