ls-mmse-ofdm-ch.estimation

很不错的RS纠错编码原理及其实现方法。pdf格式(rs encode and decode.)

yah sure its useful.thanks for sharig

说明：  Multi variable control design for Gas Turbine

说明：  无迹卡尔曼滤波在目标跟踪中的应用MATLAB仿真(Application of untracked Calman filter in target tracking)

实现了在地震记录中拾取地层的Q值，然后对Q值进行补偿(Pickup achieved in the formation of the Q value of the seismic records, and Q values ​ ​ to compensate for)

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 .)

svpwm控制整流器模型，实现单位功率因数(SVPWM rectifier model Realization of unit power factor)

implement doa algorithms 1)classical 2)music 3)min-norm 4)mvdr

Inverse dynamic analysis of 3 bar serial robot using new efficient method De-NOC.

说明：  S-Function（系统函数）为扩展 Simulink?的性能提供了一个有力的工具。以下下节阐述了什么是S-Function，为什么可以使用 S-Function，以及怎样编写自己的 S-Function。(S-Function provides a powerful tool for extending the performance of Simulink. The following section explains what an S-Function is, why it can be used, and how to write your own S-Function.)