Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jianeng Tang"'
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 518-532 (2023)
Abstract At present, the image encryption algorithm based on the bit‐plane has the problem that the encryption speed and the encryption effect cannot be well balanced. To address the problem, an image layered scrambling encryption algorithm is prop
Externí odkaz:
https://doaj.org/article/b2a030f5fad54a7a92e8a140787ed733
Publikováno v:
IEEE Access, Vol 11, Pp 59346-59356 (2023)
Chaotic systems are widely used in various aspects such as information security, signal processing, and synchronous control. The structural complexity and the chaotic behavior of chaotic systems are two significant factors affecting their practical a
Externí odkaz:
https://doaj.org/article/a7600d8016484f318688e70e166e6109
Publikováno v:
IEEE Access, Vol 10, Pp 67669-67685 (2022)
In this paper, a new two-dimensional sine-cosine coupling chaos map(2D-SCCM) is proposed. The performance of the proposed two-dimensional chaotic system is analysed by using trajectory distribution maps, Lyapunov exponents, sample entropy and sequenc
Externí odkaz:
https://doaj.org/article/144d8fe39e2843459ab81c8453d8ca46
Publikováno v:
Nonlinear Dynamics. 111:10629-10652
Publikováno v:
IET Image Processing. 17:518-532
Publikováno v:
The Visual Computer.
In the paper, a new one-dimensional (1-D) compound Sine chaotic system (CSCS) is first proposed. Then new chaotic maps are generated by the CSCS. And four novel generated maps are used for the illustration about the CSCS. Secondly, the results of per
Publikováno v:
Digital Signal Processing. 133:103843
Publikováno v:
2021 6th International Conference on Robotics and Automation Engineering (ICRAE).
Publikováno v:
International Journal of Control and Automation. 9:1-14
Publikováno v:
International Journal of Control and Automation. 9:1-10
In the paper, a class of complex dynamical network with non-delayed and delayed coupling is investigated. Then the problem of synchronization stability analysis for the complex dynamical network is further discussed. Taking advantage of linear matrix