Single

旅行商问题的IAGA算法。好象很不错的程序。matlab编写的(IAGA Algorithm for Traveling Salesman Problem. It seems very good procedure. matlab prepared)

channel decoding in matlab

本matlab程序用于对泽尼克多项式的像差进行绘图(This matlab program is used to plot aberrations of Zernike polynomials)

说明：  无线通信原理系统应用中用到的MATLAB仿真，对与学习无线通信原理及MATLAB都很有帮助滴(pricinples of communication system simulation with wireless aplications with MATLAB)

Using BPSK modulation scheme,in MIMO system, alamouti code & both OSTB code for a rayleigh fading channel . for 2*1, 2*2, for 4*4, for 8*8

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

matlab的自学教程，很基础的东西，好理解(matlab self-study tutorial, very basic things, a good understanding of)

discrete continuous transform used in mobile communication, perfectly analyzed.

说明：  差分进化算法，最新的用于替代遗传算法，是以后的主要发展方法(differential evolution)

this is matlab simulink for three diodes bridg that give good simulation for understanding