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讲述了基于matlab的排爆机器人的控制与仿真，具有较好效果(About the control and simulation matlab-based EOD robot, with good results)

Matlab Code for> A Post-Processing Algorithm Using Histogram-Driven Anisotropic Diffusion

NLMS Adaptive filter for voice

白噪声及有色噪声序列的产生，有色噪声序列可以看成由白噪声序列驱动的线性环节的输出(White noise and colored noise sequence generated colored noise sequence can be seen as the output of the linear part of the sequence driven by white noise)

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, )

Evolution Strategies minimizes the objective function designated in ff

matlab瑞利衰落信道仿真，配WORD说明(matlab Rayleigh fading channel simulation)

OFDMmatlab仿真程序，改程序是一个仿真系统，附有文档说明。(OFDMmatlab simulation program, the reform process is a simulation system, accompanied by documentation.)

最新的gstreamer内部原理和开发指南，讲的非常详细，收藏好多年啦(The new GStreamer internal principle and development guide, a very detailed, for several years)

The following fuzzy modeling exercises run in the MATLAB environment. The interaction required by the user is guided by instructions and editable fields menus. The user can change various parameters of a system, and execute modeling commands to verify the resulting system. In some exercises, it is also possible to manually edit the fuzzy system initially generated with the parameters given by the user, in order to enhance and fine tune the performance of the model.