Research on the quantifications of chaotic random number generators

作     者：Zheng, Yan-bin Pan, Jing Song, Yu Cheng, Hai Ding, Qun 

作者机构：Heilongjiang Univ Key Lab Elect Engn Harbin 150080 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF SENSOR NETWORKS》 (国际传感器网络杂志)

年 卷 期：2014年第15卷第1期

页      面：32-39页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China Innovated Team Project of "Modern Sensing Technology" in colleges and universities of Heilongjiang Province [2012TD007] 

主　　题：chaotic binary sequence quantification chaotic random number generator Local-Period phenomenon 

摘      要：It has been proved that Local-Period phenomena widely exist in any chaotic binary sequences. Among the reasons of Local-Period phenomena, the quantifications of chaotic binary random number generators are the key factors. This paper proposed that different quantifications could make the generated sequences from the same chaotic real value sequence appear different randomness. Moreover, the simulation results illustrated that for the same Logistic real value sequence quantified by different quantifications, such as L-bits quantification, C-threshold quantification and Region quantification, Local-Period phenomena are located in different places by binary sequence period detection (BSPD) detecting method. Meanwhile, statistical data inferred that C-threshold quantification has less effect on the randomness of original chaotic real value sequence.