EPANET教学

在Win2000系统下修改主机名、IP、网关、子网掩码和代理服务器-in Win2000 systems changes hostname, IP, gateway, subnet mask and proxy servers

SMT32 利用其FSMC通过DMA来操作液晶和触摸屏(STM32 FSMC DMA LCD TOUCH)

利用非线性迭代法进行桥梁悬索在重力作用下的变形情况分析(Analysis of deformation of bridge suspension under the action of gravity by nonlinear iterative method)

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).)

一款可以快速实现图片缩略图的图象处理工具，国外人员开发-One can quickly achieve the picture thumbnails of image processing tools developed abroad

可以用此程序实现一个经典好玩的小游戏：五子棋-can use this program to achieve a classic fun little game : 331

一个脏矩形演示程序，在网上下载的，希望对大家有用。-a dirty rectangular Demonstration Program, the online download, I hope useful for all.

说明：  SHT20温湿度传感器的51控制。可完美使用其控制传感器从而得知外界温度。下载后请给好评，谢谢(51 control of SHT20 temperature and humidity sensor. Perfect use of its control sensor to know the external temperature. After downloading, please give it a good comment. Thank you.)

脑电、多通道等神经电信号数据多窗谱估计的matlab代码(neural data multitaper method to get psd)

说明：  Support vector regression with particle swarm optimization