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一篇有关利用轮廓在自然图像中检测和定位交点的英文文献，该方法是在64位操作系统中进行的(One on the use of contours in natural images to detect and locate the intersection of English literature, the method is a 64-bit operating system for the)

绘分形树：tree(n,a,b),n为分形树迭代次数 a,b为分枝与竖直方向夹角 (Painted fractal tree)

解标志模糊的奇异值分解和多路张量模型,用Matlab代码编写.(Resolving the Sign Ambiguity in the Singular Value Decomposition and multi-way tensor models)

kalman滤波的经典例程，对于学习和指导使用kalman滤波非常有帮助，还附有Kalman最经典的论文A New approach to Linear filtering and prediction problems以及非线性系统确定采样型滤波算法综述2012控制与决策(kalman filtering classic routines, learning and guidance for using kalman filter is very helpful, but also with Kalman most classic treatise A New approach to Linear filtering and prediction problems and nonlinear systems reviewed to determine the sample type filter algorithm 2012 Control and Decision)

利用VC和Matlab混合编程,基于Matcom，Release文件夹下可直接运行，绘出震荡曲线(Using VC and Matlab to program, based on Matcom, Release folder can be run directly and shock curve can be plotted.)

用于实现方差计算和画图 我用MATLAB编的程序，存为txt文档格式，方便大家查看。这是我们组在学校国际赛选拔赛时编的程序，用于实现方差计算和画图。可立即执行。(Variance calculation and graphics used to implement I use MATLAB code of the program, saved as txt file format to enable easy viewing. This is our group in the school when the series of international competitions qualifying procedures for the realization of the variance calculation and graphics. Can be implemented immediately.)

说明：  MATLAB实现的EM算法，用于高斯混合模型的均值、方差、权重估计(EM algorithm based on MATLAB)

Matlab and C code of mutual information

这是关于扩频的一些基本知识,希望能对大家有帮助.(this is about spreading some basic knowledge, we want to help.)

附录MATLAB 图像处理命令 1．applylut 功能： 在二进制图像中利用lookup 表进行边沿操作。 语法： A = applylut(BW,lut) 举例 lut = makelut( sum(x(:)) == 4 ,2) BW1 = imread( text.tif ) BW2 = applylut(BW1,lut) imshow(BW1) figure, imshow(BW2) 相关命令： makelut 2．bestblk 功 举例(Appendix MATLAB image processing an order. Applylut functions : the binary image using lookup tables for 2500 operations. Grammar : A = applylut (BW, lut) For lut makelut = (sum (x (:)) == 4. 2) = imread BW1 (text.tif) BW2 = applylut (BW1. lut) imshow (BW1) figure, imshow (BW2) related orders : makelut 2. For bestblk Gong)