SVPWM

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Help Matlab Programming

设计地震子波和反射系数序列，合成单道地震记录，再利用对数分解法求取子波，反褶积得反射系数序列(Design seismic wavelet and reflection coefficient sequence, the synthesis of single-channel seismic recording, re-use logarithmic decomposition strike wavelet deconvolution reflection coefficient sequence)

一个自己用到的用matlab编写的fdtd源程序，感觉还可以。里面的参数没有设置，可以自己根据需要设置。(Used with its own written fdtd matlab source, feeling okay. Inside the parameter is not set up my own according to their needs.)

this program will help you to perform LDA and PCA signal processing tools for classifing

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, )

干涉图的正交分析."Quadrature Component Analysis for Interferometry".(This software shows the performance of the algorithm proposed in the paper: "Quadrature Component Analysis for Interferometry".)

张量tt分解matlab工具包，包含实现tt分解算法(tensor train toolbox)

Sylvester equations solving via the characteristic polynomial approach- using Sylvester operator s characteristic polynomial L

粒子群解决旅行商问题 包含数据集 运行结果良好(Particle Swarms Optimization tsp)