NURBS Model for Chaotic Time Series

摘要：

NURBS method is extensively used in the field of Geometric Modeling. Since the original NURBS method does not have time factor, it can not display the huge advantage in the dynamics field. In this article, inspired by the segmented nature of basis functions, we propose a time factor method which can be directly applied in reconstruction of missing data, with remarkable performance in matching the original data. This work does not only give an expression of chaotic time series, but also highlights a possible way for the challenge in reconstruction of missing data.

关键词： chaos nonlinear system model NURBS time series computability

作者: Chenxi Shao Lipeng Xiao

作者单位: Department of Computer Science and Technology,University of Science and Technology of China Departme Department of Computer Science and Technology,University of Science and Technology of China

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 135-138

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）