WIM2_ITU_ChannelModel_ver4

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计 优化1：设计了yyy，即在o(k)计算公式时，当网络进入平坦区时(<0.0001)学习率加大，出来后学习率又还原 优化2：v(i,j)=v(i,j)+deltv(i,j)+a*dv(i,j) (BP network in strict accordance with the formula to design a matlab program, the optimized BP network design optimization 1: Design of the yyy, that is, o (k) formula, when the network into the flat areas (< 0.0001) increase learning rate large, after the optimization of learning rate reduction 2: v (i, j) = v (i, j)+ deltv (i, j)+ a* dv (i, j) )

WSN 质心定位算法 Centorid Algorithm 加经典参考文献 A: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点利用邻居锚节点进行定位，没有邻居锚节点的未知节点无法定位。 B: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 未知节点一旦被定位就充当起锚节点的功能，向周围邻居发送自己的估计坐标信息 未知节点把已经定位的未知节点与锚节点同等对待 C: 如果接受节点接收到的包数目与发送节点发送的包数目的比值大于CM_threshold,则这两个节点视为邻居节点 有邻居锚节点的未知节点只利用邻居锚节点进行定位，没有邻居锚节点的未知节点才利用已经定位了的邻居未知节点进行定位。(WSN centroid localization algorithm Centorid Algorithm A: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown node using the neighbor anchor nodes to locate, no neighbors anchor nodes and unknown nodes can not be located. B:   If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Unknown nodes are positioned on as soon as the function of anchor nodes to send their neighbors estimated coordinate information Unknown unknown node to node already positioned anchor nodes treated equally C: If you accept the received packet node number and the number of packets sent by the sending node ratio greater than CM_threshold, then these two nodes as neighbors Of the unknown neighbor anchor node the neighbor nodes are only positioned anchor nodes, )

Matlab编程必备手册，包含编程格式规范，程序控制结构和实例，适用于初学者。(Matlab programming required manual contains programming format specification, program control structure and examples for beginners.)

Goal of the project was to implement numerical methods for solving systems of nonlinear algebraic equations using MATLAB software. As in previous assignment first of all I need to research for functions, which would be helpful during evaluation of each task, later on I was able to implement and test numerical algorithms for solving given problems. Each student got three different equations to solve, and create another one with use of them for finding its zero place with various methods. Each method, result, comment and conclusion is placed in this report. At the end of the report one can find my MATLAB programs, and all references which were used as a help for me during evaluation.

Sesia, S. - LTE, The UMTS Long Term Evolution

基于量子遗传算法的函数寻优算法的Matlab程序实现(Based on quantum genetic algorithm function optimization algorithm Matlab procedures)

说明：  这是双馈电机的矢量调制方法的仿真，仿真效果还可以。(This is doubly-fed vector modulation method of simulation, the simulation results can also.)

基于matlab的完整的中值滤波代码基于matlab的完整的中值滤波代码(Based on the complete matlab code median filter matlab-based complete median filter code)

用matlab仿真实现的雷达图像的几何畸变校正过程(using Matlab Simulation of radar images of the geometric distortion correction process)

codigo para detectar bordes