DocumentCode :
333249
Title :
Application of symbolic techniques in detecting determinism in time series [and EMG signal]
Author :
Yang, Zhijia ; Zhao, Guangzhou
Author_Institution :
Dept. of Electron. Eng., Zhejiang Univ., China
Volume :
5
fYear :
1998
fDate :
28 Oct-1 Nov 1998
Firstpage :
2670
Abstract :
We use symbolic techniques to detect determinism in a time series. We apply it to simulated chaotic time series and stochastic process (noise), as well as EMG signals. Our study shows that the symbol spectrum can be more useful than the power spectrum in characterizing a time series underlying a certain dynamics, and it is also robust to noise
Keywords :
Gaussian noise; Henon mapping; chaos; electromyography; normal distribution; stochastic processes; symbol manipulation; time series; white noise; EMG signal; Gaussian white noise; Henon map; determinism detection; logistic map; noise robustness; norm distribution; simulated chaotic series; stochastic process; symbol tree; symbolic techniques; threshold function; time series; Chaos; Computer aided analysis; Electromyography; Equations; Logistics; MATLAB; Muscles; Noise generators; Testing; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
ISSN :
1094-687X
Print_ISBN :
0-7803-5164-9
Type :
conf
DOI :
10.1109/IEMBS.1998.745176
Filename :
745176
Link To Document :
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