欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
将模糊关系的概念引入混沌伪随机序列复杂度的测度方法之中,提出了一种新的混沌伪随机序列复杂度测度方法——模糊关系熵（fuzzy relationship entropy,简记为F-REn）测度方法,并推导了F-REn的两个基本性质.仿真结果表明,该测度方法能够有效测度混沌伪随机序列的复杂度,与近似熵（ApEn）测度方法和符号熵测度方法相比,F-REn测度具有更加好的对序列符号空间的适用性、更加小的对测量维度的敏感性和更加强的对分辨率参数的鲁棒性.
英文摘要：
A new complexity metric to evaluate the unpredictability of the chaotic pseudorandom sequences based on the fuzzy relationship entropy（F-REn） is proposed in the view of maximal randomness of the sequences with arbitrary length.On this condition,two basic properties of F-REn are proved.Simulations and analysis results show that,the proposed F-REn works effectively to discern the changing complexities of the chaotic pseudorandom sequences,and compared with complexity metric based on the approximate entropy（ApEn） and symbolic dynamics approach,F-REn works have obvious advantages in the applicability of symbolic space,the sensitivity of vector dimension and the robustness of resolution parameter.
同期刊论文项目
同项目期刊论文
Outage probability analysis of partial AF relay selection in spectrum-sharing scenario with multiple
期刊信息
位置：