Hysteresis_band_CCPWM_single_phase

说明：  用MATLAB语言编的程序，用来解决一个遗传算法的实际问题(Using MATLAB language of Procedure, a genetic algorithm to solve the practical problems)

最新cdf工具箱，可在matlab中读取cdf文件，有详细word说明。(The latest cdf toolbox, in matlab read cdf file detailed word description.)

Empirical Frequency Domain Optimal Parameter Estimation (EFDOP)

太阳能PV模型的代码，可直接复制输入得到需要的结果(The solar PV model code can be copied directly input to obtain the desired results)

求逐月异常序列x(n,12)和y(n,12)(n是年)的相关系数r(24)，其中j=1～12是1～12个月的情形，13～22是冬、春、夏、秋、冬季逐月、春季逐月、夏季逐月、秋季逐月、逐月、年、冬半年逐月（NDJFMA）、夏半年逐月（MJJASO）的序列的情形 (Abnormalities associated)

remove noise from multiple noisy images

teager能量算子的程序以及一篇关于它的文章，可能通过调用它实现提取teager能量算子(teager energy operator)

说明：  quarter car model for estimating vehicle states using EKF(a simple example to show how Extended kalman filter works in simulink)

说明：  matlab粒子群优化（Particle Swarm Optimization, PSO）算法(Particle Swarm Optimization)

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)