DocumentCode :
2570105
Title :
Time series data analysis using fractional calculus concepts and fractal analysis
Author :
Repperger, D.W. ; Farris, Katheryn A. ; Barton, Chris C. ; Tebbens, Sarah
Author_Institution :
711th Human Performance Wing, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
3311
Lastpage :
3315
Abstract :
A study is conducted on time series data analysis relating the concept of the fractional calculus to fractals and to the fractal dimension. A new definition of the fractal dimension is provided based on a property of the fractional derivative. Using fractional Gaussian noise and fractional Brownian motion, simulations show the information content of a time series can be easily manipulated by the fractional derivative method and generated in real time.
Keywords :
fractals; time series; fractal analysis; fractal dimension; fractional Brownian motion; fractional Gaussian noise; fractional calculus; fractional derivative method; time series data analysis; Cybernetics; Data analysis; Entropy; Fractals; Fractional calculus; Geology; Medical diagnostic imaging; Stochastic processes; Time series analysis; USA Councils; Fractals; complex systems; fractional calculus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346218
Filename :
5346218
Link To Document :
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