-estimate-the-rician-K-factor

BP神经网络用于分类与回归 ,非常好用，强烈建议下(BP neural network for classification and regression)

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)

对一个四阶系统用DMC算法进行控制仿真，可移植性强，只需改变系统模型即可(With a fourth-order DMC algorithm to control system simulation, portability, you can simply change the system model)

基于Matlab的一种光伏阵列模拟器的研究(matlab)

自己在数模中写的关于照相机标定的代码，跟大家分享(Write their own within a few modules of code on the camera calibration, to share with you)

用三次样条曲线进行精密星历插值和卫星钟差插值(Cubic spline curve the precise ephemeris interpolation and satellite clock error interpolation)

matlab codes for fdtd and computational emt

Segment tree implementation for Rangesum

这是一本关于Matlab2010版本软件的经典教程，内容丰富，清晰明了，非常适合初学者学习之用(This is a classic version of the software on Matlab2010 tutorials, rich in content, clarity, very suitable for beginners learning)

基于matlab的buck电路闭环pid控制，仿真效果理想。(Matlab-based closed-loop pid buck control circuit, the ideal simulation results.)