mls

实现了SPWM的逆变电路，程序运行过，可以进行FFT分析好用(Achieve a SPWM inverter circuit, run over, FFT analysis can be useful)

一个三维FDTD的计算程序，比较有用，适合初学者。(A three-dimensional FDTD calculation procedures, more useful for beginners.)

基于matlab写的一个道路障碍物识别，可检测道路障碍物，利用数字图像处理相关知识，如平滑，边缘检测等(Based on MATLAB write a road obstacle identification, can detect road obstacles, the use of digital image processing related knowledge, such as smooth, edge detection, etc.)

永磁同步电机矢量控制的仿真搭建，基于PID控制以及滑模控制，分数阶PID控制和分数阶滑模控制等(Permanent magnet synchronous motor vector control simulation, based on the PID control and sliding mode control, fractional order PID control and the fractional order sliding mode control, etc )

Matlab中所有的函数，用户可以方便地使用(Matlab, all functions, users can easily use)

mm1队列的仿真，还得出了统计给定到达率和离去率条件下系统的平均队列长度和平均等待时间，并与理论结果进行比对。(MM1 queue of simulation, it reaches a statistics given arrival rate and leave rate of the system under the condition of the average queue length and waiting time, on average, and the results compared with the theory. )

simulink file for controlin buck converter by pwm method

目标因子分析，用于找寻主因子数的个数，清晰明了的看出其步骤(Target factor analysis, to find the main number for the number of factors, see the steps clarity)

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

说明：  《精通Matlab与C/C++混合程序设计》（ 第一章）("proficient Matlab and C/C mixed Program Design" (first chapter))