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C# 获取Windows当前进程信息，枚举出各个进程的名称、ID、优先级、虚拟内存、物理内存、总的处理器时间、用户处理器时间、启动时间等相关数据，并绑定在listView控件中显示出来。

双馈直驱风力发电机组建模matlab模型(Modeling of doubly-fed direct-drive wind turbine with MATLAB model)

使用著名的KMP模式匹配算法进行字符串匹配，还可以有通配符-use of the famous KMP string matching algorithms can also be wildcards

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).)

realize the systray for your running program

c++ 实现了链表的各种功能，自己编写。(C + + realizes various functions of the linked list and writes it by myself.)

说明：  This simulation code package is mainly used to reproduce the results of the following paper [1]: [1] Linglong Dai, Bichai Wang, Mugen Peng, and Shanzhi Chen, “Hybrid Precoding-Based Millimeter-Wave Massive MIMO-NOMA with Simultaneous Wireless Information and Power Transfer,”to appear in IEEE Journal on Selected Areas in Communications, 2018.(Non-orthogonal multiple access (NOMA) has been recently considered in millimeter-wave (mmWave) massive MIMO systems to further enhance the spectrum efficiency.)

逻辑蒂斯回归模型，用于概率预测，或者分类。内附matlab代码，以及运行数据，可直接运行。(this is an matlab code of logistic regression which could use for data classification and properbility predict. u can direcctly use this code and th data inside.)

说明：  NOMA系统的仿真代码，在lte的环境下运行，两个用户仿真比较误码。(The simulation code of NOMA system runs in LTE environment, and the error codes of two users are compared by simulation.)

matlab 通信学习书籍相关的代码下载(Code download related to matlab Communication Learning Book)