17-shujutongji-fenxi

卡尔曼滤波，老师上课所用程序，供大家学习参考(Kalman filter, the process used to class the teacher for them to learn information)

SRM ,Dynamic model of a swithce reluctanc emotor.

卡尔曼滤波 雷达对多维目标进行跟踪 并对装填方程进行预测 是入门的良好代码(Kalman filtering of radar target tracking and multi-dimensional equations to predict filling is good code entry)

Differential Evolution

雷达对4个目标进行脉冲压缩和mti，mtd(Pulse compression and mti radar on the four goals, MTD)

局域网的多点访问方式主要有固定分配，随机分配和按需分配三大类型。本篇文章主要分析随机分配方式网络的各种性能指标，包括在各种协议工作方式下的输入业务量，吞吐量，平均归一化传输时延，系统稳定性等。(LAN multi-access methods are mainly fixed allocation, random allocation and distribution according to need three types. Various performance indicators This article analyzes the random distribution of the network, including input traffic under various protocols work, throughput, average normalized transmission delay, the system stability.)

MATLAB code describing adaptive filter

向下延拓是不稳定算法，这个程序采用迭代法向下延拓，稳定性更好，自己编写的，供大家参考(Downward continuation algorithm is unstable, this program uses an iterative method for downward continuation, better stability, I have written for your reference)

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.)

Filter im_correl for procesing images