DocumentCode :
2701740
Title :
Synchronous performance analysis and application based on CNN hyperchaotic system
Author :
Zhang, Xiaohong ; Zhu, Yanping
Author_Institution :
Sch. of Inf. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
1374
Lastpage :
1378
Abstract :
Constructing the state observer can achieve chaotic synchronization. Conventional research method is to achieve synchronization through installing pole arbitrarily, but seldom do analysis on the performance of synchronous system. The paper design a novel five-dimensional CNN hyperchaos synchronous system, analysis shows that pole configuration and synchronous speed have intimate relations. In order to maximum decrease the synchronous error disturbance which is created by noise between the transmitting and the receiving system, we propose the way of selecting the feedback matrix and making up for differences. This scheme is applied in image disorder system, the emulation results indicate this design method is feasible and can be applied in multimedia secure communication.
Keywords :
cellular neural nets; matrix algebra; CNN hyperchaos synchronous system; cellular neural network; chaotic synchronization; feedback matrix; pole configuration; synchronous error disturbance; synchronous speed; Automation; Cellular neural networks; Chaotic communication; Circuit simulation; Design methodology; Emulation; Image processing; Neural networks; Performance analysis; Very large scale integration; Cellular Neural Network (CNN); Hyperchaotic synchronization; Noise; Pole configuration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608216
Filename :
4608216
Link To Document :
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