A one dimensional mapping method for time series data

H. Okazaki, Kaoru Yashikida, H. Mizutani
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引用次数: 4

Abstract

The problem of constructing one dimensional map model based on time series data, especially the one dimensional map exactly reproducing the time series data is considered. A new method that employs a piecewise linear canonical representing function and implements the one dimensional map as MATLAB vectrized M-files, is proposed. The application of this method is illustrated by examples of time series data such as a Nikkei Stock Average, an exchange rate, and an EEG.
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时间序列数据的一维映射方法
研究了基于时间序列数据的一维地图模型的构建问题,特别是精确再现时间序列数据的一维地图问题。提出了一种采用分段线性正则表示函数,将一维映射实现为MATLAB矢量化m文件的新方法。该方法的应用通过日经指数、汇率和脑电图等时间序列数据的例子来说明。
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