Attractor analysis of feature phase space

Author

Daizhi, Liu ; Xihai, Li ; Ke, Zhao ; Zhigang, Liu

Author_Institution

Second Artillery Eng. Inst., Xi´´an, China

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

783

Abstract

In this paper, the origin of feature phase space is presented, the construction method based on various features extracted from Lorenz model system is stated, and the validity of attractor analysis of feature phase space is tested by numerical experiments. Experimental results indicate that attractor analysis approach of feature phase space is an efficient way in pattern recognition, it determines the infimum of uncorrelated features in number, it has great immunity to noise, and it is very suitable to analyze the practical samples with noise and disturb. The practical application in the recognition of underground nuclear explosions from natural earthquakes has proved the validity of attractor analysis of feature phase space.

Keywords

Lorenz number; earthquakes; noise; nuclear explosions; pattern recognition; phase space methods; Lorenz model system; attractor analysis; feature phase space; natural earthquakes; noise immunity; pattern recognition; underground nuclear explosions; Cepstrum; Differential equations; Earthquakes; Embedded computing; Explosions; Feature extraction; Fractals; Neural networks; Signal processing; Tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279392

Filename

1279392