EDGE16QAM

进行emd分解，画边界谱，数字信号处理的基本程序(A basic program for EMD decomposition, boundary spectrum, and digital signal processing)

搭建了一个使用传统单移相控制的双有源桥仿真模型(A simulation model of dual active bridge using traditional single-phase-shift control is built.)

说明：  克里金插值matlab代码，内附实例说明，便于理解。(Kriging interpolation matlab code, with examples, easy to understand.)

说明：  PMP强化记忆手册2008版本，很好的资料：）(Enhanced memory PMP Manual 2008 edition, very good information:))

地图构建算法，对于想学地图构建的matlab方法实现的人可以来看一看，一定会有帮助的(Map construction algorithm, to those who want to learn map construction of matlab Method man can see, will help)

TEACHING-LEARNING-BASED OPTIMIZATION ALGORITHM FOR SHAPE AND SIZE OPTIMIZATION OF TRUSS STRUCTURES WITH DYNAMIC FREQUENCY CONSTRAINTS*

说明：  直升机性能计算程序，包括matlab和C++两个版本，其中Matlab版本包含了VPM程序。(blade Element Momentum Theory Analysis Code)

Research on SVM Algorithm with Particle Swarm Optimization

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.)

基于ESPRIT方法的频率估计，包括LS和TLS方法，并附不同SNR和观测信号长度情况下的性能比较程序。(Frequency estimation based on ESPRIT, including LS and TLS methods, together with the performance comparison of different SNR and the length of the observed signal case)