TSP–搜索BFS和DFS

本程序用量子行为的粒子群算法训练支持向量机，并用IRIS数据验证了该方法的有效性(This procedure acts with quantum particle swarm optimization training support vector machines, and IRIS data to verify the effectiveness of the method)

涉及参数传递如何做: Val der Pol 方程(How to pass parameters involved: Val der Pol equation)

MIMO系统滑模控制实例 让你更好地认识MIMO应用于滑模控制(Sliding mode control instance MIMO system allows you to apply a better understanding of MIMO Sliding Mode Control)

说明：  使用household进行QR分解，解方程(QR decomposition using household to solve equation)

说明：  LLC软开关，电压闭环控制，可以通过示波器观测到通过开关管的电压和电流波形，清晰地观测到开关管实现了零电压开通(LLC soft-switch voltage loop control)

说明：  实现大气随机相位频的生成，用于大气光学的仿真，可以分析激光传输收到湍流的影响。(Generation of atmospheric random phase frequency)

说明：  shtXX 实际应用样例，有详细中文说明，已经调试验证过(shtXX the practical application of the sample, a detailed explanation in Chinese, has been verified debugging)

用MATLAB实现图像的离散余弦变换，程序运行结果表明离散余弦变换能够起到压缩图像的目的。(in order to compress the bite of pictur,the program use the DCT to compress.)

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).)

自适应波束的形成仿真，通过matlab实现(Adaptive beam forming simulation)