使用sub-nyquist采样实现认知无线电中的频谱感知，配有matlab实现仿真的文章

这是计算各种物体类间距离的一种方法，用Matlab实现了．(This is the calculation of various types of distance between objects is a means to realize the use of Matlab.)

moduation and demodulation process using GUI

对于属性节点进行一定的分析，得到属性节点使用的范例。(attribute node)

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说明：  以多任务分布Matlab的计算(3)-划分一个参数序列到多任务中 Example: Dividing a Parameter Sweep into Tasks(Matlab distribution to multi-task the calculation of (3)- into a parameter to multi-task in sequence Example: Dividing a Parameter Sweep into Tasks)

利用小波变换实现对电能质量检测的算法实现(using wavelet transform to detect power quality algorithm)

《MATLAB神经网络30个案例分析》中的第24个例子，案例24 模糊神经网络的预测算法-嘉陵江水质评价。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of 24 example, 24 cases of fuzzy neural network prediction algorithm- jialing river water quality assessment. Hope to have certain help to everybody! )

说明：  利用bp神经网络编写的双色球预测的程序，希望大家参考(Bp neural network using two color projections prepared by the procedure, I hope your reference)

基于Matlab的非线性电路混沌实验仿真程序，通过对非线性电路（蔡氏电路）与非线性动力学进行分析，建立非线性动力学方程，然后利用Matlab/Simulink软件进行仿真，研究系统波形图、单吸引子、双吸引子、相面图以及在不同的非线性电阻的导纳下的不同形状(Matlab based nonlinear circuit simulation program and chaos, through the non-linear circuit (Chua) and nonlinear dynamics analysis, nonlinear dynamic equations, and then use the Matlab/Simulink simulation software to study the system waveform, single attractor, double attractor, physiognomy maps and different shapes in different nonlinear resistor admittance under)

说明：  针对多机器人编队控稍中的队形形成问题进行研究。利用控制算法中的人工势场法解决多机器人队形形成问题，结构简单、易于计算，方便对多机器人实时控制。首先，针对多机器人的队形位置用目标点搜索算法，寻找到正确的队形位置点，防止多机器人在空间内绕路，减少编队时间；然后，通过人工势场算法规划各机器人的路径，在机器人行进过程中，利用优先级蔽障方法避免与其他机器人碰撞；最后，对多机器人的队形形成进行仿真，实验证明队形形成的有效性，算法简单易于实现。(The formation of formation in formation control of multi robot is studied. The formation of multi robot formation is solved by the artificial potential field method in the control algorithm, which is simple in structure, easy to calculate and convenient for real-time control of multi robot. First of all, aiming at the formation position of multi robots, we use the target point search algorithm to find the correct formation position, prevent multi robots from detouring in space, and reduce the formation time; then, we use the artificial potential field algorithm to plan the path of each robot, and use the priority barrier method to avoid collision with other robots in the process of robot moving; finally, we use the multi robot team The simulation results show that the algorithm is simple and easy to implement.)