DocumentCode
2491711
Title
Self-similarity measurement based on experimental data
Author
Liu, Hongfei ; Sheng, Hongyan ; Zhang, Zibing ; Gan, Jianchao
Author_Institution
Autom. Acad., Chongqing Univ., Chongqing
fYear
2008
fDate
25-27 June 2008
Firstpage
5272
Lastpage
5275
Abstract
A method about the fractal characterization of nonstationary time series, which is based on measure by dividing the sequence into many segments and not sensitive to embedding dimension, is proposed in this letter. To analyze several experimental data we find that the new method can effectively measure the fractal scale coefficient and detect present of the object in land clutter.
Keywords
fractals; time series; time-varying systems; fractal characterization; fractal scale coefficient; land clutter; nonstationary time series; self-similarity measurement; Accuracy; Automation; Chaos; Data analysis; Delta modulation; Educational institutions; Fractals; Intelligent control; Object detection; Physics; embedding dimension; land clutter; self-similarity; strange attractor;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593787
Filename
4593787
Link To Document