AES

信号调制识别：在SNR=10db，干扰为高斯噪声的条件下进行信号调制类型的自动识别。(signal modulation recognition:Automatic signal modulation on the condition of SNR=10db and Gaussian noise.)

三个空间错开漩涡光束左旋螺旋形焦点在xZ平面的强度分布计算程序(xz distribution of left-handed spiral focal spot)

刘金琨老师书上的滑模matlab模型程序，很具有代表性的例子，适合各阶段的滑模学习。(Liu Jinkun teacher book sliding mode matlab model program, it is a typical example.)

rake接收机，简单易懂，来自美国著名教授，如有问题，联系02212090@bjtu.edu.cn()

显示当前系统时间 MATLAB GUI 界面(display current time and date with MATLAB GUI)

matlab实现部分Photoshop特效(mini Photoshop)

fingerprint code by matlab

说明：  多项式插值的matlab程序 多项式插值的震荡现象(Polynomial interpolation matlab program)

smith纯滞后补偿模型，与PID控制器并接一补偿环节(smith-delay compensation model, and the PID controller and then a part of compensation)

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.