故障定位程序faultlocation

用欧拉方法和龙格－库塔方法求微分方程数值解，画出解的图形，对结果进行比较分析。(using Euler method and RK method to solve the differential equations ,ploting the graph of the solution, compare and analyze the solutions)

A gui simulation and animation of two or three masses connected by springs. Four cases: (1) two masses and three springs to two walls (2) two masses and two springs to one wall (3) three masses and four springs to two walls, or (4) three masses and three springs to one wall. These four cases are programmed in four separate .m and .fig files. The gui allows changes to the masses and spring constants, and presents the normal mode oscillations and a random linear combination of normal modes.

改进的维纳滤波的matlab代码 .m文件 直接运行(Improved Wiener filter matlab code. M files directly run)

小孔径光电导天线产生太赫兹波的辐射特性(Produce small aperture photoconductive terahertz antenna radiation characteristics)

数字通信第四版答案。 对学习数字通信的同学比较有用。(the answer of digital signal communication)

bpsk modem for software defined radio complete

智能预测控制及其MATLAB实现（第2版）[李国勇][电子教案](Intelligent predictive control in MATLAB (2nd Edition) [Lee Kwok Yung] [electronic lesson plans])

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

说明：  采用hog+SVM对路标进行识别，先训练再测试，准确率达到百分之九十四左右。(Hog +SVM is adopted to identify road signs, which is trained first and then tested, with an accuracy rate of about 94 percent.)

基于802.11的matlab仿真程序，做的相当的好。希望对大家有用。大家可以参考一下。(802.11 matlab-based simulation program, to do quite good. I hope for all of us useful. We can refer to.)