运行状态的z源逆变器 MRPWM-ZSI

基于matlab GUI的贪吃蛇游戏程序。(Matlab GUI based on the Snake games.)

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, )

Vincent Jaquet & Marek Pechal基于社交网络的传染扩散模型，matlab程序(Vincent Jaquet & Marek Pechal infection based social network diffusion model, matlab program)

无线网络节点的部署，还是又障碍物版的，可以方便您编程，节省时间(Deployment of wireless network nodes, or another version of the obstacles can be programmed for your convenience and save time)

平界面下的正演,自己编写的，。。。在matlab下能够运行(Forward under the flat interface，Write your own,... To be able to run under Matlab)

复杂网络 图论内容重要参考文献 英文文献(complex network graph theory)

papers based on distributed arithmetic.

说明：  假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序

EM迭代算法源程序，可以应用到多用户检测中(EM iterative algorithm source code, multi-user detection)

说明：  可压缩传感,随机投影,稀疏性,非相干,图像重建(Compressible sensing, random projection, sparse, non-coherent, image reconstruction)