摘要
为了识别混沌信号和随机信号,针对G-P算法及其改进算法的不足,提出了一种新的改进算法.该算法不仅能简化无标度区的确定过程,而且能客观地判断系统的关联维数是否饱和.仿真结果表明,新的改进算法对于混沌信号的识别是有效的.
In order to overcome the shortcoming of the G-P algorithm and its improved form, a new approved algorithm has been proposed. When the new algorithm is used, the determination of the no-scale interval is simplified and the judgement for the saturation of the correlation dimension is realized objectively. It isvery efficient for the identification of chaotic signal. Based on the new G-P algorithm, further discussion and analysis about the new G-P algorithm is cAned out. The simulation results show that the applicable range of the new algorithm is very wide.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
1999年第2期198-201,共4页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金!69772014