DocumentCode :
497306
Title :
A Method of Evaluating the Signal to Noise Ratio Based on Duffing Time Series
Author :
Lv Ke ; Xu Jianping ; Kang Dongmei ; Zhu Na
Author_Institution :
Dept. of Sci., Dalian Fisheries Univ., Dalian, China
Volume :
1
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
399
Lastpage :
402
Abstract :
In order to evaluate the signal to noise ratio quickly in the Duffing time series which contains noise, reconstructed phase space, which is based on Duffing time series, is adopted to overcome the difficulty. Calculate the statistics which is got from, then study the relationship between and, at last find a kind of effective evaluated method. Through the data imitation, the result is that average divergence distance attenuates with signal to noise ratio in the style of exponent. Through the simulation verification, proportional error of the evaluated SNR is no more than 1%. It is very important to detect weak signal in the field of signal disposal.
Keywords :
signal reconstruction; statistical analysis; time series; Duffing time series; average divergence distance; data imitation; reconstructed phase space; signal disposal; signal-to-noise ratio; statistics; Chaotic communication; Delay effects; Extraterrestrial measurements; Noise measurement; Nonlinear dynamical systems; Phase measurement; Signal detection; Signal to noise ratio; Statistics; Time measurement; Duffing time series; average divergence distance (ADD); estimate method; signal to noise ratio (SNR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.170
Filename :
5202996
Link To Document :
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