ICC_coalition_formation

Calculates photonic band structure for either the bcc lattice of dielectric spheres of dielectric constant epsilon_a in a dielectric background of dielectric constant epsilon_b.(Calculates photonic band structure for ei ther'isnt the bcc lattice of dielectric spheres of di electric constant epsilon_a in a dielectric ba ckground epsilon_b of dielectric constant.)

Least square approximation to solve numerical analysis problems using m file matlab program can solve least square for n order of equations

cdma系统的调制解调仿真,及其各信噪比的比较。(cdma a step-by-step method, which makes implementation and debugging much easier.)

介绍matlab在控制过程中的应用。They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems.(Matlab introduction in the control process applications. They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems.)

利用matlab对直流电动机的特性以及调速和启动制动过程经行了仿真分析，对了解直流电机的特性有很大的帮助。(Using matlab to the characteristics of DC motor speed control and start the braking process of the simulation analysis by the Bank, to the understanding of the characteristics of DC motors are a great help.)

Simulation for iterated prisoners dilemma

dstatcom simulation with the help of matlab software the result are very good please check

应用遗传算法对多目标问题的优化，matlab实现(Gne. algorithm)

training phase of speech recognition project

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.