OFDM_simulation_matlab

MATLABfunction y=c6optm2(x) assignin( base , Z1 ,x(1)) assignin( base , P1 ,x(2)) assignin( base , Z2 ,x(3)) assignin( base , P2 ,x(4)) assignin( base , K ,x(5))

智能视觉监控利用计算机视觉技术在不需要人为干预的情况下,通过对摄像 头拍摄的图像序列的自动分析实现对被监控场景中的运动目标检测、识别和跟踪, 并在此基础上分析和判断目标的行为,涉及到网络通信、图像处理、数据压缩、 人工智能等多项技术 (Intelligent visual surveillance using computer vision technology in without the need of human intervention, the camera 头拍摄的图像序列的自动分析实现对被监控场景中的运动目标检测、识别和跟踪,并在此基础上分析和判断目标的行为,涉及到网络通信、图像处理、数据压缩、 Automatic image analysis of sequence header shot of the moving target detection, recognition and tracking in the scene to be monitored, and based on the analysis and judge the behavior of the objects, relates to the network communication, image processing, data compression, 人工智能等多项技术 Artificial intelligence technology )

rf matlab tool box 1

说明：  本文件可以用来精确计算M-K趋势值，以及倾斜度。 matlab的m文件 直接点击F5运行(This file can be used to accurately calculate the the MK trend values, as well as the inclination. matlab m file directly Click F5 to run)

说明：  学习matlab的资料，包含matlab的练习题和上机训练(Learn matlab materials, including Matlab exercises and computer training)

report having matlab code

matlab程序，关于模糊神经网络的，编修正函数，五层网络(matlab program, compiled correction function, five network fuzzy neural network)

幂率分布的无标度网络的生成，非常新的一个方法(Power-law distribution of scale-free network generation, a very new approach)

参考Matlab提供的模块建立简化的三相锁相环的仿真模型，只保留必要的步骤，如abc-dqz只计算Vq，去除频率反馈模块和自动参数调整模块等。 建立单相锁相环的计算模型  简化单相锁相环的系统结构，保留必要的PI控制器等模块  验证并讨论输入信号频率在45-65Hz变化时设计的锁相环的动静态性能  仿真并分析三相输入信号包含谐波、不平衡和直流偏移时锁相环的锁相结果(Reference Matlab provides three-phase PLL module to establish a simplified simulation model, retaining only the necessary steps, such as abc-dqz counting only Vq, remove frequency feedback module and automatic parameter adjustment module.  simulation and analysis of the three-phase input signal contains harmonics, unbalance and DC offset PLL phase-locked Results)

The following code implements a kernel Wiener Filter algorithm in MATLAB. The algorithm dependes on the eigenvalue decomposition, thus only a few thousand of data samples for training dataset is applicable so far.