11

Channel Estimation of MIMO OFDM with MMSE Estimator.

matlab常微分方程初值问题求解，简化版的bs32()算法(matlab ODE initial value problem solving, a simplified version of bs32 () method)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

三相电压源型逆变器的滞环跟踪PWM的simulin模型，我使用的是matlab2012a(current lagloop tracking PWM inverter)

neural network fault find relay

matlab一些典型例程，供初学者使用，互相学习啊，(matlab some typical routines, for beginners to use and learn from each other, ah,)

《〈超宽带无线电基础〉〉配套程序有葛利嘉译的那本("" ultra-wideband radio base "" matching procedure GE Li-jia then translated by the)

Dynamic Matrix Control Tutorial Dynamic Matrix Control (DMC) was the first Model Predictive Control (MPC) algorithm introduced in early 1980s. Nowadays, DMC is available in almost all commercial industrial distributed control systems and process simulation software packages. This tutorial intends to explain the features of DMC using the dmc function developed by the author.

说明：  matleble仿真倒立摆 可用的源程序，绝对可用，(Simulation of inverted pendulum matleble available source code is absolutely available,)

牛顿插值法，可用于非线性拟合，并返回在某点出的近似函数值。(Newton interpolation method can be used for nonlinear fitting, and the function returns the approximate value at some point out.)