chap6_LocalPlan_TrackingCtrl

书籍课程源代码郭天祥10天学会51单片机课程例程第三篇(Book course source code Guo Tianxiang 10 days learn 51 SCM course routines third)

DSP2812片内AD校准代码，可以轻松将片内ADC精度校准到3％以内(DSP2812 chip AD calibration code, can easily chip ADC precision calibration to within 3%)

包括广义互相关函数GCC时延估计，esprit算法对有干扰的信号频率进行估计,ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。( Including the generalized cross-correlation function GCC time delay estimation, esprit algorithm signal frequency interference can be assessed ofdm system simulation including 16qam modulation fft windowing modules plus cp.)

说明：  C语言100经典实例教程，非常实用、方便的C语言学习材料！(C-100 classic example of tutorials, very useful and convenient C-language learning materials!)

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.)

说明：  机器学习第二版书籍源码，文件较大，分章节上传(This is the code repository for Python Machine Learning - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.)

matlab43个神经网络学习的案例，有详细的说明和源码(Matlab 43 cases of neural network learning, with detailed description and source code)

使用牛顿差值和拉格朗日插值方法来填补数据中的缺失值(Using Newton difference and Lagrange interpolation to fill in missing values in data)

主要计算紊流，不同雷洛系数下的紊流，并可视化(The main computing turbulent flow, different turbulence Venturello coefficients, and visualization)

基于神经网路的六种调制信号识别，备注详细。(Modulated signal identification)