Rayleigh_inversion

说明：  Grey Wolf Optimizer MATLAB code for doing optimize your project

应用PCA（主成分分析）进行人脸识别的matlab程序，有较高成功率(PCA (Principal Component Analysis) face recognition Matlab procedures, which have a higher success rate)

Matlab 符号运算是通过集成在 Matlab 中的符号数学工具箱（Symbolic Math Toolbox） 来实现的。和别的工具箱有所不同，该工具箱不是基于矩阵的数值分析，而是使用字符串来 进行符号分析与运算。实际上，Matlab 中的符号数学工具箱是建立在 Maple 基础上的，当 进行 Matlab 符号运算时，它就请求 Maple 软件去计算并将结果返回给 Matlab。(Matlab symbolic operation is integrated in the Matlab Symbolic Math Toolbox (Symbolic Math Toolbox) to achieve. And different from other toolbox, the toolbox is not based on numerical analysis matrix, but use a string for symbolic analysis and calculation. In fact, Matlab' s Symbolic Math Toolbox is built based on Maple, Matlab symbolic computation to the time when it requests Maple software to calculate and return results to Matlab.)

已经调试好的SVPWM模型，搭建了逆变电路，效果还不错(SVPWM model has been debugged, set up the inverter circuit, the results were good)

说明：  matlab 中很实用的源代码2：中值滤波器、用Sobel算子和拉普拉斯对图像锐化，梯度算子检测边缘(Practical source code of matlab)

优化法求救方程最小值或最优解 matlab命令窗口会出现几个诸如以下结果的数据(Optimization method distress minimum or optimal solution equation matlab command window will appear as the following results in several data)

一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.(K-Nearest-Neighbor-Classifier MatLab Code)

插值法的matlab实现，内含说明。拉格朗日插值，均分牛顿插值，差分牛顿插值，三次样条插值，埃米尔特插值(Matlab interpolation method implementations, containing instructions. Lagrange interpolation, Newton interpolation sharing, differential Newton interpolation, cubic spline interpolation, Amy Stewart interpolation)

射线追踪算法正演模拟,基于地震合成记录，必须的很好的程序，你们可以看看(Ray tracing algorithm forward modeling)

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 prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)