momentum

用MATLAB编写的EMD（经验模态分解）例程。实现了Hilbert黄变换、经验模态分解等理论算法，里面包含具体应用。(It is EMD sample codes. The Hilbert-Huang transform is coded by Matlab. And the EMD samples are included.)

dc drive simulation file in matlab

说明：  用模拟退火算法解决tsp问题，适合初学者(With the simulated annealing algorithm to solve the problem tsp )

两个简单程序，一个是在空域和频域分别实现了两个矩阵的卷积。另一个程序主要是为了查看几个模板的空域及频域响应形式，方便理解(Two simple procedures, one is in the spatial and frequency domain is realized for the convolution of two matrices. Another program is mainly to see the airspace of several templates and frequency domain response form, to facilitate understanding)

PID神经网络 BP神经网络 本人自编 PID采用增量式PID控制(PID neural network BP neural network self I use incremental PID control PID)

用Ritz-Galerkin方法解边值问题： u +u=-x,0<x<1, u(0)=u(1)=0,精确解为u*(x)=sinx/sin1-x； 得出结果与精确解作比较，画出误差分析图(With the Ritz-Galerkin method to solve the boundary value problem: u' ' + u =- x, 0 <x<1, u(0)=u(1)=0,精确解为u*(x)=sinx/sin1-x； 得出结果与精确解作比较，画出误差分析图)

基于EKF的雷达与红外数据融合，通过状态向量融合与量测融合两种方法对多目标进行跟踪(EKF-based data fusion and infrared radar, through state vector fusion and measurement fusion of two methods for multi-target tracking)

PID 控制算法及扩展算法的仿真代码，建议学习控制的同志参阅一下(PID control algorithm and the expansion of the simulation algorithm code, the proposed learning control comrades see what)

无线传感器网络协议仿真对比，死亡节点数随时间的变化对比，传输到基站的数据对比，网络能量消耗对比以及生命周期和稳定周期对比等(Wireless sensor network protocol simulation contrast, death nodes comparing the change with time, comparison of the data transmitted to the base station, network energy consumption and life cycle and the comparison and contrast stable period)

本文提出了网络编码，减少了验证对飞块成本，有效地防止恶意块的传播实用的安全解决方案。在我们的方案中，用户不仅合作发布内容，但用户也合作来保护自己免受恶意用户通知受影响的节点时，一个恶意的块被发现。(This paper presents a practical security scheme for network coding that reduces the cost of verifying blocks on-the-fly while efficiently preventing the propagation of malicious blocks. In our scheme, users not only cooperate to distribute the content,but (well-behaved) users also cooperate to protect themselves against malicious users by informing affected nodes when a malicious block is found.)