Recovery of statistical property of initial conditions based on time-varying parameter from coupled map lattices

被引:11
作者
Liu, Y [1 ]
Shen, MF
Chan, FHY
机构
[1] Shantou Univ, Sch Res Ctr, Shantou, Peoples R China
[2] Univ Hong Kong, Coll Engn, Hong Kong, Hong Kong, Peoples R China
关键词
coupled map lattices; statistical properly of signals recovery; time-varying parameter;
D O I
10.7498/aps.55.564
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
To recover the initial conditions of coupled map lattices (CML), which goes athwart the coupled systems, is one of key tasks of signal processing. Based on the common symbolic dynamic method, a novel time-varying symbolic dynamic method is proposed. The Logistic map is used to test the properties of the method. Numerical simulation shows that. the flew scheme can recover the statistical property of the initial conditions from coupled map lattices for both noiseless and noisy signals. The performance of the proposed method is significantly superior to the common method. Moreover, the proposed algorithm has small biases, small mean square errors and a high correlation for the given data. Our new approach is more appropriate to the analysis of practical systems and measurement of coupled systems.
引用
收藏
页码:564 / 571
页数:8
相关论文
共 15 条
[1]  
CHEN SG, 1992, IMAGE CHAOS, P24
[2]  
Freeman W. J., 1992, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, V2, P451, DOI 10.1142/S0218127492000653
[4]   A general efficient method for chaotic signal estimation [J].
Ling, C ;
Wu, XF ;
Sun, SG .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (05) :1424-1428
[5]  
Lü HP, 2004, CHINESE PHYS, V13, P625
[6]  
Luo XS, 2000, CHINESE PHYS, V9, P333, DOI 10.1088/1009-1963/9/5/004
[7]   Symbolic dynamics for processing chaotic signals - I: Noise reduction of chaotic sequences [J].
Schweizer, J ;
Schimming, T .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2001, 48 (11) :1269-1282
[8]  
STEVEN K, 1995, IEEE T SIGNAL PROCES, V43, P2013
[9]   Dynamical behaviour of a cellular neural network [J].
Wang, HX ;
He, C .
ACTA PHYSICA SINICA, 2003, 52 (10) :2409-2414
[10]   Spatiotemporal chaos synchronization by active-occasional coupling [J].
Wang, JL ;
Chen, GZ .
ACTA PHYSICA SINICA, 1999, 48 (09) :1605-1610