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Euler方法求解微分方程的源程序，很实用，绝对正确，还有画图功能，图形中描出点来，简单易懂。(Euler method for solving differential equations of the source, very practical, absolutely right, there are drawing function, points to delineate the graphic, easy to understand.)

说明：  基于DCT的水印图像matlab代码，主要是水印嵌入和水印提取两大主要部分(DCT-based image watermarking matlab code, mainly watermark embedding and watermark extraction are two main parts)

一种系统辨识方法，基于辅助模型对输出误差系统进行未知参数辨识(AM_FG.m for the output error models)

详细说明了有关变速不变调算法的基本原理以及在MATLAB上的实现(Detailed description of the basic principles relating to the same transfer speed algorithms and implemented on the MATLAB)

dfig风机模型，应用simulink实现部分功能(Dfig fan model, using simulink to achieve some functions)

判断两幅图是否一样（包括相似图像的判断和完全不一样的图像判断）(Determine whether the two images the same (including judgments and similar images of a completely different image to check))

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)

说明：  该代码可以仿真直接扩频系统不同正弦幅度下误码率的的大小(Simulation of bit error rate of direct spread spectrum system)

教与学算法（TLBO），是一种非常好用人工智能算法，类似于遗传算法，可以用在算法寻优和调度排序等方面。(Teaching and learning algorithms (TLBO), is a very easy to use artificial intelligence algorithms, like genetic algorithm, the algorithm can be used in the optimization and scheduling sorting and so on.)

说明：  雷达数据处理程序，对于虚假目标的产生，采用在距离、方位角、俯仰角三个方面分别产生随机噪声。(There are six tracks in the main function, which are straight track 1, circular track, straight track 2, straight track 3, figure 8 Track and ellipse track. The generation method is to first generate the track in rectangular coordinate system according to the motion equations of various tracks, in which 8-word track and ellipse track are generated by calling the functions of eighttrack and ellipsetrack respectively, and then use the coordinate system transformation to convert the value of rectangular coordinate system into the value of polar coordinate system, that is, distance, azimuth and pitch angle. It is worth noting that the image should be considered in the transformation process)