droopundergrid1

VC++编写的IP侦查小程序 很实用(VC++ IP detection of small programs written in a very practical)

利用博弈论对无线网络的功率控制问题进行分析，源码能迭代实现纳什均衡，迭代过程以图形展示。(The game theory is used to analyze the power control of wireless networks, and the source code can realize the Nash equilibrium iteratively, and the iterative process is shown graphically.)

使用一个变量实现线性回归，以预测餐馆的利润。 使用梯度下降法，假设 h (x) 由线性模型给出 ，定义代价函数为 。线性回归的目标就是要最小化这个代价函数。(To get started with the exercise, you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise. If needed, use the cd command in Octave/MATLAB to change to this directory before starting this exercise.)

说明：  twincat是开发平台的实时控制自动化软件(TwinCAT is a real-time control automation software for development platform)

说明：  黄小平粒子滤波原理及应用，书本源代码，书本PDF，原书本提供代码下载网站已无法打开，这里是里面的程序。(The principle and application of Huang Xiaoping's particle filter, the source code of the book, the PDF of the book, the original book provides the code download website can not be opened, here is the program inside.)

说明：  添加文档脚本Add document scripts(Add document scripts)

说明：  体验相当不错，运用了突进模拟方式，将批处理快速增强(NICE BAT Using backhole to clear win10 cache files in one step)

说明：  热血江湖V12服务端，好像不能用了，不知道怎么回事(Hot blooded rivers and lakes)

这个源代码是实现输入十个数、输出、排序、存入文件、打开文件输出、包括一个菜单选择界面等功能(This source code is to achieve 10 the number of input, output, sorting, deposit file, open the file output, including a menu to select the interface and other functions)

说明：  计算EEG数据集的锁相值（PLV）。 ％ ％输入参数： eegData是3D矩阵numChannels x numTimePoints x numTrials srate是EEG数据的采样率filtSpec是用于在期望的感兴趣频带中过滤EEG信号的滤波器规范。 它是一个具有两个字段的结构，顺序和范围。 范围指定频带的限制，例如，对于伽马频带，使用filtSpec.range = [35 45]。 在filtSpec.order中指定FIR滤波器的顺序。 一个有用的经验法则可以包括约4到5个周期的所需信号。 例如，对于以500Hz采样的eeg数据，filtSpec.order = 50对应于100ms并且包含~4个周期的γ波段（40Hz）。(Computes the Phase Locking Value (PLV) for an EEG dataset. % % Input parameters: % eegData is a 3D matrix numChannels x numTimePoints x numTrials % srate is the sampling rate of the EEG data % filtSpec is the filter specification to filter the EEG signal in the % desired frequency band of interest. It is a structure with two % fields, order and range. % Range specifies the limits of the frequency % band, for example, put filtSpec.range = [35 45] for gamma band. % Specify the order of the FIR filter in filtSpec.order. A useful % rule of thumb can be to include about 4 to 5 cycles of the desired % signal. For example, filtSpec.order = 50 for eeg data sampled at % 500 Hz corresponds to 100 ms and contains ~4 cycles of gamma band % (40 Hz).)