guassionpulse

matlab source code for GMSK project

global posistioning system ,the different types of antenna used

说明：  蚂蚁算法的matlab实现规则来源于大自然的进化。而大自然的进化根据刚才讲的也体现为多样性和正反馈的巧妙结合。而这样的巧妙结合又是为什么呢？为什么在你眼前呈现的世界是如此栩栩如生呢？答案在于环境造就了这一切，之所以你看到栩栩如生的世界，是因为那些不能够适应环境的多样性与正反馈的结合都已经死掉了，被环境淘汰了！(Ant Algorithm matlab from the realization of the rules of nature and evolution. The evolutionary nature of the basis of the speakers also reflected in the diversity and the unique combination of positive feedback. This ingenious combination is Why? Why is presented in front of your eyes the world is so lifelike it? The answer lies in the environment has created all this, because you see life-like world, is because those who could not adapt to the environment of diversity and the combination of positive feedback have been dead and was out of the environment!)

Image Processing Toolbox

Gauss Filtering Method to find impulse response and many other property

粒子群优化算法源程序粒子群优化算法源程序粒子群优化算法源程序粒子群优化算法源程序(Source PSO PSO PSO source source source particle swarm optimization)

This is my first upload which contain some stuff files from my final project.

We prop ose d a simple relaxe d optimizatio n problem for finding the maxim um margin s ep­ ar ator when some of the examples may b e misclassified

完整的空间卫星轨道仿真程序以及空间卫星导航仿真程序。(Complete space orbit satellite navigation and space simulation program and simulation program.)

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 .)