Chapter7

说明：  各类型字节内存排列，上传一个代码是打印各个数据类型内存中排列的代码(All kinds of byte memory arrangement. Uploading a code is to print the code arranged in the memory of each data type.)

说明：  提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(Extraction based on instantaneous information signal of seven characteristics: zero center normalized instantaneous amplitude of the maximum power spectral density, zero-center normalized standard deviation of the instantaneous rate of absolute zero center section of non-weak signal instantaneous phase nonlinear component absolute value of standard deviation, non-zero center section of the weak signal non-linear component of the standard deviation of the instantaneous phase, zero-center non-normalized absolute value of the weak signal section of the standard deviation of the instantaneous frequency of a signal segment of the normalized power spectral density of instantaneous frequency maximum, according to the signal QPSK and 16QAM in the XI-axis projection of the different performance of the proposed characteristic parameters.)

说明：  C#高级编程(中文第七版)是一本非常具有实用性的书籍。(C # Advanced Programming (Chinese 7th Edition))

包括如下源码：2.3-元胞数组的使用方法、2.4-结构数组的使用方法、2.5-矩阵的使用方法、2.6-字符串的操作方法、2.7-判断函数的使用方法(Including the following source code: the use of the 2.3- cell array, the use of the 2.4- structure array, the use of the 2.5- matrix, the operation method of the 2.6- string, and the use of the 2.7- judgment function)

c8051f020源代码39个 使用Silicon Labs IDE 调试器(C8051F020 source code 39 to use Silicon Labs IDE debugger)

说明：  有趣的二进制 软件安全与逆向分析学习资料，希望能绑到有需要的人(Interesting binary software security and reverse analysis learning materials, hoping to be tied to people in need)

给出了《IDL学习教程》中的若干function list。这里是与操作矩阵的相关函数。(Gives the " IDL Learning tutorial" in the number of function list. Here is the matrix of the correlation function and operation.)

机器学习，python实战。里面有很多常用的算法和其相应的实现，很好的机器学习书籍，带源码(Machine learning, python actual combat. There are many commonly used algorithms and their corresponding implementation, good machine learning books, with source code.)

说明：  基于运动学模型的轨迹跟踪控制，无人驾驶车辆模型预测控制第二版第四章(Trajectory tracking control based on kinematic model, Chapter 4 of the second edition of model predictive control for driverless vehicles)

O Reilly Linux Device Driver Third Edition with Examples