2-d-graphics---MATLAB

Matlab中的电弧电路编程，45KB，个人觉得还是很有用的。(Arc circuit in Matlab programming, 45KB, personally think it is very useful.)

说明：  matlab/simulink下的J-A模型(J-A model basing on simulink)

伪速率脉冲调制器的稳定性分析，通过绘制系统的Nichols图，分析柔性振动对主轴的影响(the stability anslysis of pseu-speed pusle modulator)

generating gold sequence

Used for detecting skin in image.Uses YCbCr color space

a simple code for make a diffrent a color histograms.....enjoyyyy

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, )

Andrew J. Davison的源程序MATLAB版本，发表于2006年的SLAM夏令营。附有程序使用说明。 Matlab-based MonoSLAM with Inverse Depth(MATLAB source version of the Andrew J. Davison, published in 2006, SLAM summer camp. With program instructions. Matlab-based MonoSLAM with Inverse Depth)

f=zeros(30,30) f(5:24,13:17)=1 imshow(f, notruesize ) F=fft2(f,256,256) F2=fftshift(F) figure,imshow(log(abs(F2)),[-1 5], notruesize )

Finite element method introduction in matlab