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SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)

说明：  MPPT最大功率点跟踪控制，搭建了并网历程，并且使用MPPT控制。(MPPT maximum power point tracking control, build the grid-connected process, and use MPPT control.)

matlab经典入门教材，从零开始matlab。(matlab classic primer from scratch matlab.)

自相关法基音检测的MATLAB代码。自相关法计算速度较快的自相关函数法检测语音的基音频率，有效剔除了高频共振峰和噪音的影响，其估计基音频率准确性高，稳定性好，运算速度较快。(CAMDF)

约束优化算法：拉格朗日乘子法matlab程序(Constrained optimization algorithm: the Lagrange multiplier method and matlab program)

旋转Y切-弹性压电薄膜，谐振器的特性计算及分析，用MATLAB编程计算。(Rotated Y-cut- elastic piezoelectric thin film resonator characteristic calculation and analysis, calculated using MATLAB programming.)

发表在《science》上的一种基于密度峰值的聚类算法源程序(Cluster algorithm based on density peak)

已puma560工具箱为基础，编写了一个控制界面，可以实现对机械臂运动的正解反解及轨迹规划(Toolbox has been puma560 based on the preparation of a control interface, can achieve positive solutions to the robot arm motion and trajectory planning inverse solution)

wind solar mppt inverter boost converter

A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hurst parameter proposed in this paper can be implemented efficiently allowing very large data set. We used fractional Gaussian noises (FGN) which typically possesses long-range dependence with known Hurst parameters to test the accuracy of the proposed Hurst parameter estimator. For justifying the advantage of the proposed estimator, some other existing Hurst parameter estimation methods, such as wavelet-based method and a global estimator based on dispersional analysis, are compared. The proposed estimator can process the very long experimental time