Improving Autocorrelation performance of Hyperhenon Sequence based on APAS Theorem

摘要：

Chaotic sequences, as a kind of pseudorandom sequences, have been widely used. But some well known chaotic sequences, such as Hyperhehon sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we modified Hyperhenon map to S-Hyperhenon map, and S-Hyperhenon sequence has excellent autocorrelation performance and simple structure, whereas its other performances are remained invariant or become better, and can be used more widely.

关键词： Chaos Hyperhenon map Autocorrelation Phase space

作者: Bin Chen

作者单位: School of software and communication , JiangXi University of Finance and Economics, NanChang, China

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1415-1418

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）