Publication Date:
2018-04-19
Description:
Entropy, Vol. 20, Pages 295: A Novel Algorithm to Improve Digital Chaotic Sequence Complexity through CCEMD and PE Entropy doi: 10.3390/e20040295 Authors: Chunlei Fan Zhigang Xie Qun Ding In this paper, a three-dimensional chaotic system with a hidden attractor is introduced. The complex dynamic behaviors of the system are analyzed with a Poincaré cross section, and the equilibria and initial value sensitivity are analyzed by the method of numerical simulation. Further, we designed a new algorithm based on complementary ensemble empirical mode decomposition (CEEMD) and permutation entropy (PE) that can effectively enhance digital chaotic sequence complexity. In addition, an image encryption experiment was performed with post-processing of the chaotic binary sequences by the new algorithm. The experimental results show good performance of the chaotic binary sequence.
Electronic ISSN:
1099-4300
Topics:
Chemistry and Pharmacology
,
Physics
