C7

color tracking green n red

单级倒立摆智能控制器中的模糊控制器的设计与仿真(Inverted Pendulum and Intelligent Control Design and Simulation of Fuzzy Controller)

基于matlab编写了自然二进制码、折叠二进制码、反射二进制码之间的转换，并使用MatlabGUI设计了人机交互界面。(Prepared based on matlab natural binary code, binary code folding, reflecting the conversion between binary code and use interactive interface designed MatlabGUI.)

为了有效对抗灵巧噪声，从雷达信号与噪声信号的产生原理出发，对比了 2 种信号的时、频域差别，并就对抗技 术进行了针对性探讨，研究表明结合信号特征差异识别和针对性的噪声对抗技术能够有效解决灵巧噪声干扰问题(In order to effectively fight smart noise generated from the principle of the radar signal and noise signal of departure, when comparing the two kinds of signals in the frequency domain differences, and to explore targeted against technology, research shows that differences in signal characteristics combined with the identification and targeted Noise confrontation smart technology can effectively solve the noise problem)

Matlab工具仿真，经典MUSIC算法，一次性得到多个信号的DOA估计参数(using matlab tool and classical MUSIC mathod,to get doas for multiple signals. good.)

改程序能够实现加窗插值FFT算法的matlab仿真，已经得到实验验证，注解清晰详细，代码可读性强.以512点为例进行仿真计算，对与其他点数，如256或是1024可以通过简单修改即可(Reform process to achieve the windowed interpolation FFT algorithm matlab simulation, experimental verification has been, clear and detailed annotations, code readability. 512 points as an example to the simulation of other points, such as 256 or 1024 can be simple modifications)

一篇关于Lorenz chaotic systems同步性的仿真(Lorenz chaotic systems)

说明：  选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)

CODE是寫利用FUZZY的方式來做分群,也就是有歸屬度的程度分別 ,個人覺得比硬式分群結果來的較好,最後會畫圖來顯示結果.(CODE is written using FUZZY way to do grouping, which is a degree of attribution degrees, respectively, than the rigid grouping personally feel better the results will finally drawing to show the results,)

完成雷达8个脉冲回波数据的脉压、MTI和MTD仿真(8 completed radar pulse pressure pulse echo data, MTI and MTD simulation)