Gravity_anomaly

Actel双端口存储；通过串口发送数据初始化RAM，然后通过串口返回到上位机的串口调试程序显示(通过串口发送数据初始化RAM，然后通过串口返回到上位机的串口调试程序显示)

说明：  是一本系统讲解相控阵雷达数据处理的好书。主编：蔡庆宇(Is a system on Phased Array Radar Data Processing books. Editor-in-Chief:蔡庆宇)

GNSS与惯性及多传感器组合导航系统原理（第二版）-光盘资料(GNSS and inertial and multi-sensor integrated navigation system principles (Second Edition) - CD-ROM data)

书中详细介绍了地震勘探中的一些非常重要的数值计算方法，并用matlab将其算法实现，有助于理解地震勘探的基本原理 。(The book details some of the most important numerical calculation methods in seismic exploration, and uses Matlab to implement its algorithm, which is helpful to understand the basic principles of seismic exploration.)

Matlab做有限元分析，有静态、动态、非线性分析等等！(Matlab do finite element analysis, static, dynamic, nonlinear analysis, and so on!)

说明：  机器学习实战，python源码，KNN,决策树等实现(Machinie Learning IN ACTION)

功率谱估计程序，选用一电力系统谐波信号为输入。其中包括有：burge算法，esprit算法，music算法，mvdr算法，pisarenko算法，prony算法，修正协方差算法，自相关算法。这些程序均为本人自编，并且对程序所参考书籍和页数进行了标注。经过调试，绝对正确，请放心使用。(Power spectrum estimation procedure, selection of one power system harmonics signal as input. Including: burge algorithm, esprit algorithm, music algorithm, mvdr algorithm, pisarenko algorithm, prony algorithm, as amended covariance algorithm, since the correlation algorithm. I own both of these procedures, and procedures of reference books and the number of pages have been marked. After debugging, absolutely correct, please rest assured that use.)

Java Script & VB Script 教程(Java Script Guide VB Script)

说明：  随机森林算法与 Bagging 算法类似，均是基于 Bootstrap 方法重采样，产生多个训练集。不同的是，随机森林算法在构建决策树的时候，采用了随机选取分裂属性集的方法 本程序中，将乳腺肿瘤病灶组织的细胞核显微图像的 10 个量化特征作为模型的输入，良性乳腺肿瘤和恶性乳腺肿瘤作为模型的输出。用训练集数据进行随机森林分类器的创建，然后对测试集数据进行仿真测试，最后对测试结果进行分析。(Similar to bagging algorithm, random forest algorithm is based on bootstrap resampling to generate multiple training sets. The difference is that the random forest algorithm uses the method of randomly selecting the split attribute set when constructing the decision tree In this program, 10 quantitative features of nuclear microscopic image of breast tumor tissue are taken as the input of the model, and the benign and malignant breast tumor are taken as the output of the model. The training set data is used to create the random forest classifier, then the test set data is simulated and the test results are analyzed.)

一个很好的mpc例子，用mpc来控制flywheel。(A good example of mpc, the mpc to control the flywheel.)