psolicheng

说明：  该算法为连续系统的模拟PID仿真,用MATlab开发，能够管直接运行,其中以二阶传递函数为控制对象进行PID仿真(The algorithm for continuous system simulation PID simulation, using Matlab development, be able to pipe directly to run, with second-order transfer function for PID control simulation objects)

说明：  具有自检测功能的交通路标识别系统代码。能自动识别常见的交通标志，检测道路信息。(Self-detection of traffic signs recognition system code. Can automatically identify common traffic signs, road information detected.)

改进的滞后阈值分割方法一程序，用户matlab用户使用(Improved method of hysteresis thresholding of a program, the user matlab users)

实验名称:投资组合分析 实验性质：综合性和研究探索性 实验目的：熟练运用投资组合工具箱，学会构造有效前沿组合的方法，掌握最优投资组合的计算方法；给出投资组合VaR 的值。 实验任务：选择股票并从万得下载数据，计算证券的预期收益率、标准差和协方差，设定一组约束条件，构造最优投资组合并计算该组合的Var值。 实验设备：计算机 实验软件：Matlab2013 Wind数据库 选择一组股票作为投资标的，构造投资组合，通过估计收益率均值、计算方差、协方差，计算该投资组合权重、在险价值、画出有效前沿。(Experimental Name: Portfolio Analysis Experimental nature: comprehensiveness and research exploration The purpose of the experiment is to skillfully use the portfolio toolbox, learn to construct effective frontier portfolio method, grasp the best investment portfolio calculation method, and give the value of portfolio VaR. Experimental tasks: select stock and download data from Wan De, calculate the expected return, standard deviation and covariance of securities, set up a set of constraints, construct the optimal portfolio and calculate the Var value of the portfolio. Experimental equipment: computer Experimental software: Matlab2013 Wind database A group of stocks is selected as investment target, and a portfolio is constructed. By estimating the mean value, variance and covariance of the yield, we calculate the portfolio weight, value at risk and draw effective frontier.)

维纳滤波器的设计与实现程序，对初学者会有帮助(Wiener filter design and implementation of the program, will be helpful for beginners)

MATLAB desktop keyboard shortcuts, such as Ctrl+S, are now customizable. In addition, many keyboard shortcuts have changed for improved consistency across the desktop.

matlab编程中译版，Stephen.J.Chapman著(Matlab programs for engineer written by STEPHEN.J.Chapman)

完整的pca小程序，简单的一些数据。进行分类。是模式识别的基础的一些东西(Complete pca applet, simply some of the data. For classification. Pattern recognition is based on something)

DC motor selection via torque calculation

43 cases of neural network matlab source code 神经网络43个案例的源代码，(43 cases of neural network matlab source code)