commlab

本课件主要讲述了Matlab在经济学统计预测和决策领域的应用，对于经济统计学方面的研究和数学建模具有很好的指导作用。(The courseware is mainly explained Matlab statistical forecasting and decision-making in the field of economics, the application of research for economic statistics and mathematical modeling has a good guide.)

一个简单的记事本程序，实现了简单的记事功能，用matlab实现(A simple Notepad program to achieve a simple notebook features, using matlab to achieve)

信号与系统学习matlab工具箱，提供各种信号仿真(the study of signal and system )

MATLAB版单纯性算法 可以列出单纯形表以及其他相关数据(Simple MATLAB version of the simplex algorithm can be listed in the table as well as other relevant data)

1、掌握MATLAB优化工具箱的基本用法，对不同算法进行初步分析、比较。 2、练习实际问题的非线性最小二乘拟合。(1.Understand the basic usage of Matlab optimization tool box. Analize and Compare different algorithms. 2. Practise nonliear minimum second order fitting using practical problems.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

基于质心计算和背景抑制的亮斑中心精确定位(Precise positioning of bright spot center based on centroid calculation and background suppression)

Matlab code for Saleh model non-memory amplifier. Supports IBO/OBO specification.

白噪声 –单位冲激信号 –正弦信号 –方波信号 –三角波信号 功率谱(White Noise- unit impulse signal- sinusoidal signal- a square wave signal- triangular wave signal power spectrum)

捷联惯导系统放置在室内测试台上做静态测试，测试时间4500s。 1）取前180数据做粗对准（解析对准法）； 2）取第181s~900s数据做精对准（Kalman滤波法）； 3）从第901s开始做纯惯导解算； 4）用国军标的导航系统位置精度评价方法评估系统定位精度（分别计算CEP50 和 CEP95 下的定位精度）。(The strapdown inertial navigation system was placed on the indoor test bench for static test with a test time of 4500s. 1) take the first 180 data for rough alignment (analytical alignment method); 2) accurate alignment of 181s-900s data (Kalman filtering method); 3) pure inertial navigation solution is performed from 901s; 4) the positioning accuracy of the navigation system is evaluated by the method of position accuracy evaluation of the national military standard (the positioning accuracy under CEP50 and CEP95 are calculated respectively).)