matlabCommand

m伪随机序列Matlab源代码，很不错，值得看看(m pseudo-random sequence Matlab source code, very good, we can look at)

源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频，在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下，处理效果很好。(The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on the matlab only compressed AVI video. Does not change the background of video cases, the treatment effect is very good.)

说明：  创建BP神经网络 训练BP神经网络 计算仿真误差 计算运行时间 matlab7.0环境运行无误(The creation of BP neural network trained BP neural network simulation run-time error calculation matlab7.0 environment to run correctly)

用于在MATLAB中绘制多坐标轴，将多个变量绘制在一张图中(MATLAB is used to draw multiple axes, multiple variables are plotted in a graph)

香农定理以及它在Matlab软件中的实现例程(Shannon coding and its MATLAB implementation)

倒立摆控制系统是一个复杂的、不稳定的、非线性系统，是进行控制理论教学及开展各种控制实验的理想实验平台。对倒立摆系统的研究能有效的反映控制中的许多典型问题：如非线性问题、鲁棒性问题、镇定问题、随动问题以及跟踪问题等。通过对倒立摆的控制，用来检验新的控制方法是否有较强的处理非线性和不稳定性问题的能力。利用模糊控制对倒立摆进行控制(Inverted pendulum control system is a complex, unstable, nonlinear system, which is an ideal experimental platform for teaching of control theory and various control experiments. The research of inverted pendulum system can effectively reflect many typical problems in control, such as nonlinear problem, robust problem, stabilization problem, follow-up problem and tracking problem. Through the control of the inverted pendulum, used to test whether the new control method has a strong ability to deal with nonlinear and instability problems. The fuzzy control is used to control the inverted pendulum)

说明：  Carrier overview sample for CV

说明：  关于预测控制的MATLAB-s-function模块编写。 网络化控制系统是一种通过网络实现传感器，控制器和执行器之间数据交换的分布式实时反馈控制系统。其应用领域广泛，包括过程工业，航天工程，运输管理，机器控制，远程手术，智能家居等。具有长距离数据交换与共享，成本低, 便于安装和维护，高灵活性和可靠性，易于重配置及高移动性等优势。同时，由网络化控制系统引起的网络诱导时延和其共享、开放、可进入等特点对系统稳定性和安全性造成的影响也不可忽略。故本文设计了一种网络化预测输出跟踪控制系统以解决网络时延问题，并站在安全的角度研究虚假数据注入攻击问题(MATLAB-s-function.Networked control system is a distributed real-time feedback control system that realizes data exchange among sensors, controllers and actuators through network. Its applications range is wide, including process industries, aerospace engineering, transportation management, machine control, remote surgery and smart homes.)

说明：  alamouti 空频分组码---在时变信道下SFBC-OFDM(alamouti space-frequency block codes- in the time-varying channels under the SFBC-OFDM)

这个包包含6个代价敏感神经网络训练算法。(This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble. )