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xyle
- 拉普拉斯降维方法,是非线性数据降维方法,通过构建相似关系图来重构数据局部流形结构特征。-Laplace dimension reduction method is non-linear data dimensionality reduction method, by constructing a graph similar to reconstruct the structure of local manifoldof the data.
Phase_Space_Reconstruction_et-al
- 相空间重构算法,可用于分析非线性系统的数据特征-Phase space reconstruction algorithm, can be used to analyze the data characteristics of nonlinear systems
kde2d
- 二维高斯核函数重构 重构方法不依赖于参数化模型-2D Gaussian Kernel Reconstruction fast and accurate state-of-the-art bivariate kernel density estimator with diagonal bandwidth matrix. The kernel is assumed to be Gaussian. The two bandwidth parameter
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构,得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性,对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测,对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
phasespace-reconstruction
- 混沌相空间重构,重构嵌入维数,计算时间延迟-phase space reconstruction
OMPhellowrold
- 一维信号OMP恢复算法,中文详细注解。可运行(An OMP reconstruction algorithm of compressed sensing)
Chaotic Systems Toolbox
- 这个工具箱包含一组函数,可以用来模拟一些最著名的混沌系统,其为相空间重构、模拟时间序列的线性特性、尺寸和噪声估计以及降噪提供了额外的功能。(This toolbox contains a set of functions which can be used to simulate some of the most known chaotic systems, such as: - The Henon map - The Ikeda map - The Logistic map - The