Commonly-used-algorithm-MATLAB

说明：  使用matlab有关am调制的仿真编程，基本的仿真代码(Am prepared to use the simulation on matlab programming, the basic simulation code)

对经典协议LEACH的改进版本，可以出图3个，对初学很有帮助，大家有兴趣的可以看看。(LEACH agreement on an improved version of the classic, you can plot three, very helpful for beginners, we are interested can look at.)

二维的粒子群算法仿真试验的matlab代码， 希望对大家有有帮助。(two-dimensional simulation PSO upload point of view we have a right to help.)

public guideness for swarm Ops in Matlab

rbfnn用于长期预测，效果比多元回归模型好。(rbfnn for long-term forecast, the effect is better than the multiple regression model.)

自己在毕业论文中所编写的源程序蒸发式冷水机组编程，希望大家共同学习(Evaporative chillers programming )

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.

matlab经典时频分析工具箱，短时傅立叶变换（STFT），维格纳分布（WVD）,伪维格纳分布（PWVD）等时频分析方法(Toolbox short-time Fourier transform (STFT) Wigner distribution (WVD) pseudo-Wigner distribution (PWVD) frequency analysis method matlab classic time-frequency analysis)

基于MRAS(模型参考自适应)方法的永磁同步电机控制MATLAB仿真模型（已调试,效果较好）(Based on MRAS (model reference adaptive) method of permanent magnet synchronous motor control MATLAB simulation model (has debug, better))

加权支持向量机的控制图模式识别方法，不平衡的分类异常控制模式与支持向量机的趋势 (A weighted support vector machine method for control chart pattern recognition imbalanced classification of abnormal control trend patterns with SVM)