Noise-reduction of experimental optical chaos and its attributes

Zhiwei Zhu; Yichao Meng; Nian Fang; Zhaoming Huang

doi:10.1117/12.745576

19 November 2007 Noise-reduction of experimental optical chaos and its attributes

Zhiwei Zhu, Yichao Meng, Nian Fang, Zhaoming Huang

Proceedings Volume 6782, Optoelectronic Materials and Devices II; 67822N (2007) https://doi.org/10.1117/12.745576
Event: Asia-Pacific Optical Communications, 2007, Wuhan, China

Abstract

A time series of experimental optical chaos signal with dynamic equation unknown and low SNR is obtained. The wavelet multi-resolution decomposition algorithm is applied here to reduce the noise mixed in the experimental optical chaos signal. The performance of the algorithm is verified by Lorenz chaos signal mixed with noise, which shows that the SNR is increased by 10dB or so. Some parameters of the optical chaos attributes are calculated before and after noise-reduction. It shows that the noise-reduction algorithm can improve the precision of the Lyapunov exponent calculated with small data method, and a completely opposite wrong result can be avoided by the noise-reduction process when computing the minimum embedding dimension with Cao method. The small data sets method is improved by Cao method (minimum embedding dimension) and mutual information method (delay time). As the result is shown, the error of the largest Lyapunov exponent is reduced by nearly 30%, and the largest Lyapunov exponent of the optical chaos signal is 0.3896 obtained with this method.

Citation Download Citation

Zhiwei Zhu, Yichao Meng, Nian Fang, and Zhaoming Huang "Noise-reduction of experimental optical chaos and its attributes", Proc. SPIE 6782, Optoelectronic Materials and Devices II, 67822N (19 November 2007); https://doi.org/10.1117/12.745576

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available