part2

Simulink model of field oriented control. permanent magnet synchronous motor.

说明：  对含储能和风电的电力系统进行了可靠性评估，利用序贯蒙特卡洛法，把风储系统接入IEEE-RBTS系统来仿真，探讨了风电场、储能系统、储能容量和储能最大充放电功率对系统可靠性的具体影响。(This paper evaluates the reliability of the power system including energy storage and wind power. The sequential Monte Carlo method is used to connect the wind storage system to the ieee-rbts system for simulation. The specific effects of the wind farm, energy storage system, energy storage capacity and the maximum charge and discharge power of energy storage on the reliability of the system are discussed.)

lms自适应波束形成小程序，主要适用于阵列信号处理的学习阶段。(lms beamform)

Matlab Code for Time hopping Ultra wide band

MATLAB入门教程，WORD形式，共有33页。简单易懂，是入门级配合书籍必看的。(The MATLAB introductory tutorial, WORD form, a total of 33. Easy to understand, is the entry-level with the books must see.)

matlab毕业编程【谷速软件】贝兹曲线绘图界面 可以作为参考使用，程序是word版本 (matlab graduate program [Valley] Bézier curve drawing speed software interface can use as a reference, the program is a word version)

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.

基于matlab写的一个道路障碍物识别，可检测道路障碍物，利用数字图像处理相关知识，如平滑，边缘检测等(Based on MATLAB write a road obstacle identification, can detect road obstacles, the use of digital image processing related knowledge, such as smooth, edge detection, etc.)

本程序基于实测的LFM脉冲信号回波数据，进行脉冲压缩处理，实现MTI/MTD/Matched Filter等功能，主要完成以下具体功能 1.脉冲压缩的实现以及结果处理， 2.固定目标的对消的实现方法、作用以及必要性分析， 3，脉冲积累的时机、实现方式、效果及必要性分析， 4,动目标检测的实际含义、具体实现方案及结果分析， 5,对目标距离、速度、数量的回答及旁瓣抑制的必要性分析 ( This program echo LFM pulse signal based on the measured data, the pulse compression processing, realize MTI/MTD/Matched Filter, and other functions, mainly to complete the following specific functions 1. The realization of pulse compression and processing results, 2. Cancellation of the realization method of the fixed target, function and the analysis of the necessity, 3, the timing of the pulse accumulation, implementation method, effect and necessity analysis, 4, the actual meaning of the moving target detection, the concrete implementation plan and result analysis, 5, the target distance, speed, number of answer and the analysis of the necessity of the sidelobe suppression )

利用联合对角化分数低阶空时矩阵进行冲击噪声环境下的二维DOA估计(Use of joint diagonalization fractional lower order two-dimensional space-time matrix DOA estimation under impulsive noise environments)