Complexity Analysis and Research based on the Chaotic System of Sample Entropy

This paper has analyzed the analysis method of Sample Entropy sequence linear complexity, and used this algorithm to calculate the measure entropy of Logistic chaotic system movement. Theoretical study and simulation realization show that, the method of short observation sequence can accurately reflect the chaotic system and the complexity size of chaos pseudo-random sequence, and can be used to judge the complexity of the pseudo-random sequence generated by chaotic system, as well as has the good consistency compared with approximate entropy (ApEn), meanwhile with high execution efficiency. The experimental results show the validity of this method and the correctness of the theoretical results.