Rocket_plot

说明：  高等数学实验（胡良剑） 数学实验工具箱 (Higher mathematics experiment (Liang-sword) Math lab kit)

RLS matlab code which means Recursive lease square algorithm

This program simulates Gaussian beam propagation through a Fabry-Perot interferometer ％with adjustable error angles.(Gaussian beam prop agation through a Fabry-Perot interferometer % error with adjustable angles.)

approximate solutions of 4th order ODE using the Runge–Kutta method (RK4)

煤气炉温度控制系统设计，包括比较、串级控制、单回路控制和复回路控制。(The gas temperature control system design, including comparison, cascade control, single loop control and complex circuit control)

这些文档里包含了大量MATLAB GUI的实例和方法对GUI图形界面编程很有帮助(These documents contain MATLAB GUI examples and methods to help the GUI graphical interface programming)

对数据进行因子分析matlab完整代码。(Factor analysis of the data integrity matlab code.)

雷达脉冲内调制特征的提取技术，用于雷达特征分析与信号分选。这是matlab程序。(Within the radar pulse modulation feature extraction technique for radar signature analysis and signal separation. This is a matlab program.)

fortran的matlab代码,可以将fortran仿真结果可视化(fortran matlab code, you can visualize simulation results fortran)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)