搜索资源列表
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分段线性分割的算法，用于进行自底向上的分段线性时间序列分割-Piecewise linear segmentation algorithm, bottom-up used for the Piecewise Linear Time Series Segmentation
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在时间序列分段线性表示 PLR 基础上 ,提出用相对点平均误差度量子序列过程状态变化程度 ,改
进过程数据 PLR模型分段算法 ,克服采用单一误差算法的模型失配问题 ,更加准确地反应过程状态的变化。-:Based on PLR piecewise linear representation of time series,RPAE relative point average error is pro2
posed to measure linear degree of process
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题目：非平稳时间序列突变检测的启发式分割算法（BG算法）
本源码实现了下面参考文献中的算法，并对该文献中的实例进行了仿真-Title: Non-stationary time series mutation detection heuristic segmentation algorithm (BG algorithm) of the source references to achieve the following algorithm, and examples of the liter
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自己写的关于时间序列滑动窗口分段算法，能输出分段点的位置下标。-Wrote on their own time series sliding window segmentation algorithm, can point out the location of the next sub-standard.
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非线性和非平稳时间序列突变检测的新方法—BG分割算法-Nonlinear and non-stationary time series new method of mutation detection-BG segmentation algorithm
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Performs piecewise bottom-up segmentation of multi-variate time-series.
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非平稳时间序列突变检测的启发式分割算法（BG算法）MATLAB源代码-Non-stationary time series of mutation detection heuristic segmentation algorithm (BG) MATLAB source code
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粒子图像分割及匹配均为自行编制的子例程，ICA（主分量分析）算法和程序，时间序列数据分析中的梅林变换工具，D-S证据理论数据融合，用于特征降维，特征融合，相关分析等,是小学期课程设计的题目，是本科毕设的题目。- Particle image segmentation and matching subroutines themselves are prepared, ICA (Principal Component Analysis) algorithm and procedures, Time
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时间序列数据分析中的梅林变换工具，粒子图像分割及匹配均为自行编制的子例程，采用累计贡献率的方法。- Time series data analysis Mellin transform tool, Particle image segmentation and matching subroutines themselves are prepared, The method of cumulative contribution rat.
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时间序列数据分析中的梅林变换工具，中介真值程度度量，基于中介真值程度度量的图像分割DC-DC部分采用定功率单环控制。- Time series data analysis Mellin transform tool, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation DC-D
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