Symbol-chaos characteristics based on system noise

Author

Zhang, Yu ; Ren, Chenglong ; Wang, Yuguo ; Chen, Ruwen

Volume

6

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

3080

Lastpage

3084

Abstract

Because of belonging to the information of system condition, the noise degree of signal could be utilized to express the difference of system condition. After obtaining the symbolic probability series by the signal time series, the symbol-chaos characteristics, which could identify the noise degree of signal, are constructed with the four parameters that are symbolic Shannon entropy, symbolic Kolmogorov entropy, symbolic correlation dimension and symbolic Lyapunov index. The calculation methods and process diagram of symbol-chaos characteristics are offered. The symbol-chaos characteristics could effectively identify the noise degree of signal and then the system condition.

Keywords

chaos; correlation methods; entropy; signal denoising; time series; signal noise degree; signal time series; symbol chaos characteristics; symbolic Kolmogorov entropy; symbolic Lyapunov index; symbolic Shannon entropy; symbolic correlation dimension; symbolic probability series; system noise; Correlation; Entropy; Equations; Indexes; Mathematical model; Noise; Time series analysis; identification; noise; symbol-chaos characteristics;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2010 Sixth International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5958-2

Type

conf

DOI

10.1109/ICNC.2010.5584687

Filename

5584687