SalarySystem

USING MATLAB TO CREATE AN IMAGE FROM RADAR

从日置Hioki 8860系列记录仪生成的.MEM文件和.FFT文件中读取数据。(Read data from .MEM or .FFT file genetated by Hioki 8860 serial data recorder.)

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

retangular waveguide

matlab的PSO工具箱，只需对参数和目标函数设定就可以进行粒子群计算(PSO toolbox matlab, simply set the parameters and the objective function can be particle swarm meter )

mimo空时编码MATLAB仿真程序，实现了mimo空时编码的简单仿真。(MIMO space-time coding MATLAB simulation program, the realization of the MIMO space-time coding a simple simulation.)

信息论与编码中，对香农信源编码定理的仿真，验证了香农编码定理的可行性。(information theory and coding, right Shannon source coding theorem simulation, verification of the Shannon coding theorem.)

集群优化算法-和声算法，可添加到其他工程进行二次开发(Cluster optimization algorithm- harmony search algorithm, and can be added to other projects for secondary development)

matlab工具箱函数汇总函数，对初学者会有很好的帮助(matlab toolbox functions aggregate functions, there will be a good help for beginners)

web服务选择优化算法，采用单纯性改进算法来实现。效率优于matlab原始库函数。(web service selection algorithm, improved algorithm using simple to achieve. Efficient than the original matlab library function.)