ConjugateGradient.m

这是关于matilab的一百个实例非常实用，初学者可以多加以琢磨(This is about the matilab one hundred examples, very practical, beginners can try to consider )

impact of statcom on wind farm

2-fsk调制解调，采用相干解调，画出调制前调制后，加噪声，解调的函数图(modulated and demodulated by 2-fsk)

说明：  为NURBS曲线拟合程序，包括插值等内容。(it's the NURBS curve fitting program, including interpolation and so on.)

PPCA变换的MATLAB程序代码 需要的可以下载 (PPCA transform MATLAB program code needed to download)

MATLAB求解非线性最小二乘法拟合问题 源程序代码(MATLAB for solving nonlinear least-squares fitting of the source code)

Array Factor calculation in Antenna Array feed networks

基于特征点的全自动无缝图像拼接程序和算法研究(Research programs and automatic seamless image mosaic algorithm based on feature points)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

Simulink model of a PV array