beam-element

预测控制算法matlab仿真，采用的是二阶系统，本程序是动态矩阵控制的简单仿真(Predictive control algorithm matlab simulation, using the second-order systems, this procedure is a simple dynamic matrix control simulation)

三维血管重建——通过将文件转换为MATLAB矩阵，并缩取小矩形。。。(Three-dimensional vascular reconstruction)

It is source code base on camera calibration toolbox for matlab to perform stereo camera calibration automatically

说明：  最速下降梯度法matlab程序和用拟牛顿法求极小值点(apply a gradient–descent based error minimization approach to minimize the difference between the real deformation and the simulated one given the elasticity parameters)

采用matlab simulink仿真，搭建了通信仿真系统，具有很好的参考价值，希望对你有帮助(Using matlab simulink simulation, set up communication simulation system, with a good reference value, we want to help you)

（8,1）重复码的软、硬判决译码的仿真程序。( (8,1) repeat code, hard and soft decision decoding simulation program.)

本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。(This software is mainly used for the structure of time-domain experimental modal analysis, including single-input single-output, single-input multiple-output and multiple-input multiple-output programming. Traditional modal analysis software are mostly based on frequency domain analysis, needed first sampled signal Fourier transform. The software uses the measured time-domain signal without the need for Fourier transform, avoid truncated because of the signal caused by leaks, there sidelobes and low resolution of the issue of adverse effects on the identification accuracy. In addition, the savings in computing time, to the actual condition of the structure of the state-line parameter identification.)

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)

粗糙集属性约简相关论文，感觉不错，用来分享一下(Rough set attribute reduction related papers, I feel good, to share)

《Matlab图形和数据可视化》一书的附带源代码(MATLAB Graphics and Data Visualization Cookbook)