Matlab-SVM

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

说明：  matlab代码：计算混淆矩阵，查准率/查全率，ROC,F-measure，准确率等(Matlab code for computing and visualization: Confusion Matrix, Precision/Recall, ROC, Accuracy, F-Measure etc. for Classification)

matlab算法大全之时间序列模型，非常棒的资料(the matlab algorithm Daquan time series model, great information)

fmguiv2图像跟踪，可稳定跟踪目标，用于MATLAB仿真(fmguiv2 image tracking, target tracking can be stable for the MATLAB simulation)

对噪声信号中的正弦信号，通过Pisarenko谐波分解方法、Music算法和Esprit算法进行频率估计，信号源是： 其中， ， ， ； 是高斯白噪声，方差为 。使用128个数据样本进行估计。 1、用三种算法进行频率估计，独立运行20次，记录各个方法的估计值，计算均值和方差； 2、增加噪声功率，观察和分析各种方法的性能。(Sinusoidal signal in the noise signal through the Pisarenko harmonic decomposition method, Music algorithms and Esprit frequency estimation algorithm, the signal source is: where,,, a Gaussian white noise, variance. 128 data samples used to estimate. 1, with three kinds of frequency estimation algorithm, run independently 20 times, record the estimated value of each method to calculate the mean and variance 2, the increase in noise power, observation and analysis of the performance of various methods.)

刘宝碇《不确定规划及应用》第4章例4.4的matlab程序。内容简单，但可以有效的帮助初学者理解随机模拟的原理。(Liu anchor " uncertain Planning and Applications" in Chapter 4 Example 4.4 matlab program. Content is simple, but can effectively help beginners understand the principles of stochastic simulation.)

Buck电路的Simulink电路仿真,可以运行验证Buck电路的工作原理。(Buck circuit, circuit simulation, Simulink can run to verify the working principle of the Buck circuit.)

LAST one sample file

减震器振动仿真，基于matlap的论文，很重要，对于汽车减振器有很大的学习和帮助(Shock absorber vibration simulation, the paper based on the matlap, is very important, is of great learning and help for automobile shock absorber)

对于利用MATLAB标定工具箱得出相机标定参数后，此函数可利用标定得出的结果，对图像进行畸变矫正，输出矫正好的图像。(Calibration Toolbox for use MATLAB camera calibration parameters obtained, this function can be calibrated using the results obtained, the image distortion correction, output correction a good image.)