adaboost

采用matlab或其它软件工具编程实现。 ">

matlab自学者60个实用小代码。。。。。。(Practical small code)

利用Matlab建立主电网发生故障时的交流微电网模型。交流微网运行在480V，从120 kV电网交流输入降压11kV然后走到480V。故障发生在t 10秒。(Using Matlab to establish the AC micro grid model of the fault of the main power grid. AC microgrid runs in 480V, 120 kV AC input to buck 11 kV and then go to 480V. Failure occurred at t 10 seconds.)

完整的OFDM链路程序并作了较为具体的解析从基本的bpsk,qpsk,qam到实际的ofdm系统，cdma链路，mac层仿真分析.(Orthogonal frequency division multiplexing (OFDM) is becoming the chosen modulation technique for wireless communications. OFDM can provide large data rates with sufficient robustness to radio channel impairments. Many research centers in the world have specialized teams working in the optimization of OFDM for countless applications. Here, at the Georgia Institute of Technology, one of such teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part of the Georgia Center for Advanced Telecommunications Technology (GCATT). The purpose of this report is to provide Matlab code to simulate the basic processing involved in the generation and reception of an OFDM signal in a physical channel and to provide a description of each of the steps involved. For this purpose, we shall use, as an example, one of the proposed OFDM signals of the Digital Video Broadcasting (DVB) standard for the European terrestrial digital television (DTV) service.)

Create an impulse excitation

用Matlab编写的Mie theory计算程序。在光子学中运用广泛，使用非常方便。(prepared using Matlab Mie theory calculation procedures. Photonics in extensive use, the use is very convenient.)

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 .)

Lyapunov指数的算法分析,与其它算法折比较,也包含优缺点(Lyapunov index of the algorithm analysis, comparison with other folding algorithm, but also the advantages and disadvantages of)

在功率菜谱分析中，加载不同的窗函数，通过谱图观察效果。(Analysis in the power menu, load a different window function, through the spectrum observed effect.)

最小均方误差迭代算法和最小二乘算法的仿真程序。适用初学者(least mean square and recursive least square. appropriate for elementary learners.)