摘要
借鉴数字图像领域中边缘算子的基本思想,提出一种基于插值边缘算子的时间序列分段线性表示方法(简称为 IEO 表示).该方法根据插值边缘算子中的两个子度量:边缘强度和插值误差相结合的度量标准来选取时间序列模式表示中每个子模式的边缘点(端点).时间序列的 IEO 表示不但可以压缩数据,还可以有效抑制噪声的影响,因而具有较强的适应性,可以适应不同的数据特征环境.
In terms of the basic principle of edge operator in digital image field, a time series pattern representation based on interpolated edge operator (IEO representation) is put forward. This method, according to a measurement standard, chooses the edge point (end point) of each sub-pattern of.time series pattern representation. The measurement standard is the combination of two sub-measurement of interpolated edge operator: edge intensity and interpolation error. The IEO representation of time series can not only compress data, but also effectively restrain the influence of noise. Therefore its adaptability is relatively strong, and it can adapt different data feature environment.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2007年第3期421-427,共7页
Pattern Recognition and Artificial Intelligence
基金
福建省自然科学基金(No.S0650013)
关键词
边缘强度
插值误差
时间序列
分段线性表示
压缩率
拟合误差
Edge Intensity, Interpolation Error, Time Series, Piecewise Linear Representation(PLR), Compression Ratio, Fitting Error