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于 2013-10-04 发布文件大小:423KB

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sobel算子进行边缘监测，附有源代码和效果图(sobel operator edge monitoring, with the source code and effect diagram)

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Digitaltuningpin
它是用matlab语言编写的数字调音台,是一个仿真源程序(It is the language used matlab digital mixing consoles, is a simulation source)

2008-05-23 10:33:09下载

积分：1
matlab
迪杰斯特拉算法求最短路径，经典的求解最短路径算法等(Dijstrala algorithm solve the shortest—paths problems)

2010-07-12 20:54:07下载

积分：1
YALL1_Group_20120223
用于求解组稀疏的matlab代码，可以设置系数为非负。也可以设置分组是否为重叠。(This is a solver for (1) group-sparse basis pursuit model: minimize sum_i w_i*||x_{gi}||_2 subject to Ax = b, x >= 0 (optional),)

2021-03-02 14:19:34下载

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Interpolation
This program apply iterpolation on a speech file.

2014-01-25 18:52:16下载

积分：1
random_3d_obl
利用matlab对无线传感器网络进行部署，并且部署了长方形的障碍物，模拟室内环境。(Using matlab to deploy wireless sensor networks, and deployed a rectangular obstacles, simulated indoor environment.)

2011-08-19 22:32:59下载

积分：1
leixingzhuanhuan
GUI系统进行图像的类型转换，能够吧图像转换成不同的格式。(GUI system for image conversion, it can convert images into a different format.)

2014-01-26 10:13:44下载

积分：1
sjb
利用matlab实现三角波的生成及频谱分析。(Matlab triangle wave generation and spectrum analysis.)

2013-03-11 19:20:25下载

积分：1
MIMOCDMA
a MIMO CDMA matlab code

2010-07-14 15:41:07下载

积分：1
Chapter_2
Harada book simulation chapter 2

2009-04-02 13:37:34下载

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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation ％％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

2008-04-27 15:51:27下载

积分：1

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