• 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