TestPanel

这是matlab宝典里面的源代码 相信对于开发着有所帮助(This is a matlab source code inside the book and I believe that the development of a help)

A very simple programe to analyse the Barkhausen noise

mini hydro power plant with squirrel cage induction generator

航空飞行器惯性导航的数学建模与实时系统仿真(Aviation aircraft inertial navigation Mathematical Modeling and Simulation of real-time systems)

求解扩散方程的隐式格式MATLAB代码 (Implicit scheme for solving the diffusion equation MATLAB code)

K_means算法的matlab语言算法实现(Language algorithm K_means algorithm matlab)

说明：  EA名称：套利精灵 EA类型：对冲套利 一、功能介绍 本EA遵行顺大势，逆小势策略入场交易； 二、核心优势 多货币套利，对冲风险获取盈利，每月有一次机会单局最大利润达到30% 三、注意事项 （1）如适用周期：该EA只须在欧美一分钟图表上，就能运行多对货币。 （2）资金要求：建议3000美金，最少入金不少于1000美金 （3）时间段：全时段，正常情况无需人工干预，在盈利的情况下，可视情况自行平仓;(EA Name: Arbitrage Elf EA Type: Hedging Arbitrage I. Introduction of Functions This EA follows the general trend and counter-minor strategy to enter the market. II. Core Advantages Multi-currency arbitrage, hedging risk for profit, once a month, the maximum profit of a single board reached 30%. Notes (1) If applicable: the EA can run multiple pairs of currencies only on a one-minute chart in Europe and the United States. (2) Capital requirements: Recommend $3000, at least $1000 (3) Time period: Full-time period, normal conditions without manual intervention, in the case of profit, according to the circumstances of self-liquidation;)

matlab仿真程序，有关正交频分复用（ofdm）的相关仿真(matlab simulation program, the orthogonal frequency division multiplexing (ofdm) related to simulation)

说明：  一个用MATLAB实现的单机器人避障程序。效果很好。(Using MATLAB to achieve a single robot obstacle avoidance procedures. Good effect.)

多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1](Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1])