摘要
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.应用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,从而对随机信号和混沌信号加以识别.对新的G-P改进算法进一步分析表明:新的G-P改进算法适用范围广泛,对于混沌信号的识别很有效.
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3期298-300,共3页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金!69772014