MVC

说明：  ofdm符号同步算法-schmidl&cox算法的matlab实现(OFDM Symbol Synchronization Algorithm-schmidl )

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, )

说明：  BP神经网络基本算法的matlab实现方式，具体内容需要修改(BP matlab)

一个自己编写的Tri-training算法，利用支持向量机，K近邻，和朴素贝叶斯进行协同训练(A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training)

objectarx 自定义实体例子 objectarx 自定义实体例子 objectarx 自定义实体例子(objectarx acdbentity test objectarx acdbentity test objectarx acdbentity test)

Segmentation by growing a region from seed point using intensity mean measure.Simple but effective example of "Region Growing" from a single seed point.

ask仿真电路 调制解调 所有性能参数都有 全面深入了解ask的产生(ask the circuit simulation)

说明：  Matlab/Simulink中搭建卡尔曼滤波系统，可获得经滤波后信号。(A kalman filter system was built in Matlab/Simulink to obtain filtered signals.)

it is the simulation of SVPWM technique. this technique is very popular and is useful in many simulations.

求二维三维等高线,立体图的很好用的程序，也可帮助画四维图。(Seeking 2D and 3D contours, three-dimensional map of the good use of the program can also help draw four-dimensional map.)