Chapter7

说明：  算法笔记书籍上每一章节每一小节出现的算法题目的源代码。(The source code of the algorithm Title appearing in each chapter and section of the algorithmic notebook.)

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

Jsp file manager jsp 文件管理器 可以用(The Jsp file manager can use Jsp file manager)

D-S证据理论数据融合，现代信号处理中谱估计在matlab中的使用，仿真效率很高的。( D-S evidence theory data fusion, Modern signal processing used in the spectral estimation in matlab, High simulation efficiency.)

主要是利用牛顿法解线性方程组，重点是雅克比矩阵的求解(Solving linear equations by Newton method)

信息光学数字实验室（matlab版）随书源码(Optical digital laboratory (matlab version)，the book code)

计算有限差分与传播光束法结合的程序，很有帮助(Calculation of finite difference beam method combined with the dissemination of the procedure, very helpful)

说明：  Unreal.Engine.4.AI.Programming.Essentials.2016 虚幻四AI编程设计。(Unreal.Engine.4.AI.Programming.Essentials.2016)

《PB实用技巧集锦》适合新手,看了此书，pb成长应该会很块(" PB practical skills Collection" for novice, read the book, pb growth should be very block)

可以得到很精确的幅值、频率、相位估计，用于信号特征提取、信号消噪，有循环检测，周期性检测。( You can get a very accurate amplitude, frequency, phase estimation, For feature extraction, signal de-noising, There are cycle detection, periodic testing.)