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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.)

Null Steering Broadside Beam former自适应波束成形，使用了干扰零陷的方法。程序注释非常详细，每句语句都对应了算法的基本原理，保证可以读懂，程序运行结果正确明了(Null Steering Broadside Beam former adaptive beam forming, the use of interference nulling method. Program notes are very detailed and end of each statement corresponds to the basic principle of the algorithm to ensure that you can read, the program runs correctly understand the results)

基于Matlab simulink的四轮车辆模型仿真mdl源文件。(mdl soure code of 4 Wheel Vehicle Simulation With Matlab Simulink)

Program to implement insertion sort

matlab code for Deep Neural Network

说明：  isar成像，含外场数据，可以模拟成像效果，已经测试过了，可以使用(ISAR imaging, including field data can simulate the imaging effect,It has been tested and can be used)

chord transparition

计算cvar的各种算法哦，亲。。。 很全很好很棒的(copute cvar)

基于模糊控制的自动泊车matlab仿真,界面和代码以及fis(Based on the fuzzy control of automatic parking matlab simulation)

在matlab开发环境下用k均值算法实现数据的分类，以及得到数据的聚类中心( realizingthe data classification With k-means algorithm)