AdaptiveFiltersdemo

飞轮电机的建模与仿真研究程序，能够很好地用于研究飞轮电机。(to build the model of FESS system.)

real time data acquisition between pic 18f and matlab

face recognition matlab code preprocessing

雷达波型设计仿真程序，包括连续波波型，脉冲波型，线形调频波型，步进频波形等等(the simulation code for radar waveforms,including CW and pulsed waveforms, linear frequency modulation waveforms and stepped frequency waveforms)

matlab2010 经典教程 pdf 经典的matlab学习指南 初学或建模有兴趣可下载(matlab2010 classic tutorial)

先进PID控制matlab仿真，第二版，刘金坤(fuzzpid PID)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

利用Matlab编制的有限元程序，针对悬臂梁，采用三角形划分网格，计算梁的固有频率和前三阶阵型，并绘制出来(Compiled using Matlab finite element program for the cantilever, the triangle mesh to calculate the natural frequency of beam formation and the first three and drawn out)

一个MIMO信道仿真实现的例子，有详细的文档说明和完整的代码(a MIMO Channel Simulation example, a detailed description and documentation of code integrity)

随机线性分组编码，信道编码，纠错编码，检错编码(Random linear block coding, channel coding)