lab1

IIR滤波器设计，包含切比雪夫，巴特沃兹，椭圆等滤波器matlab代码。可直接运行。(IIR filter design, including Chebyshev, Butterworth, oval filter matlab code. Can run.)

适合卫星通信本科学生借鉴。主要为卫星转发器仿真设计。可以实现上下变频，非线性放大器实现和卫星转发器实现。(Satellite transponder Simulation Design。Achieve Frequency conversion)

matlab实现的目标跟踪数据关联程序，可以用于目标跟踪领域。(matlab implementation of target tracking data association procedure can be used for target tracking.)

说明：  是关于通信仿真的几个程序，里面有调幅、调频等的仿真程序代码！(Communications simulation on several procedures, which has AM, FM, such as the simulation program code!)

在转速为48K/min时，滚动体的几个时域波形(In speed for 48 k/min, rolling body several time domain waveform )

雷达目标检测 多干扰环境CA和GO的发现概率随SNR变化曲线 成功(Radar target detection probability of finding multiple interference environment with CA and GO SNR curve of success)

Like Matlab s scatter command, lscatter produces a scatter plot. Unlike scatter, it allows you to also use a vector of labels that are used instead of the usual uniform markers. lscatter(x,y,l) generates a scatter plot where label{i} is placed at the coordinate (x(i),y(i)), for all i. The program accommodates a large number of options which make it easy to taylor the output to your needs. The included example script should help you get started. Please comment if you like it or find it useful.

基于matlab图像处理技术的随书源代码(Based on matlab image processing technology with the book source code)

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.

已知某系统传递函数G，可以调用改代码对系统进行降阶处理。功能同routh降阶相似，不过这里的分子阶次r和分母阶次k可以不止相差1。(Known transfer function of a system G, can call the code to deal with reduced-order system. Routh Reduction with similar features, but here the molecular order r and the denominator order k can be more than a difference of 1.)