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matlab_by_example
Matlab by example by Vinod
- 2009-09-30 15:16:46下载
- 积分：1
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ofdm_signal_wlan
说明： 该程序是用matlab语言实现无线通信领域ofdm的描述，读者可以一试(that the procedure was used Matlab language OFDM wireless communications description, the reader can be a trial)
- 2006-01-17 12:36:43下载
- 积分：1
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Outlier_Test
我上载的最后一个空间数据挖掘的例外点检测程序（共4个）,用matlab编的。(Finally, I uploaded a spatial data mining exception detection procedures (a total of 4), using matlab series.)
- 2007-09-13 09:39:50下载
- 积分：1
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decomposition-and-reconstruction
说明： 基于lena图像的3层小波的图像分解与重构(Lena image-based 3-layer wavelet decomposition and reconstruction of images)
- 2011-04-18 15:28:59下载
- 积分：1
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maxentropie
threshold is a key technique for the segmentation and edge detection in an image for image processing. Here in this file the threshold is on the based of the maximum entropy of an image using shannon entropy method.
- 2013-07-15 02:47:37下载
- 积分：1
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776matlab
本书把 MATLAB 当作一种技术编程语言来教，向学生展示如何编写简洁高效，有充分
根据的程序。本书不主张把 MATLAB 数以百计的函数全部介绍给大家，而是教给学生怎样使用 MATLAB 语言，以及如何使用网上在线工具去加载你所需要的函数。(The book MATLAB as a technology programming language to teach, show students how to write simple and efficient, have fully According to the program. This book does not advocate the MATLAB hundreds of function is introduced to you all, but teach students how to use MATLAB language, and how to use the online tools you need to load the function.)
- 2012-04-08 21:57:21下载
- 积分：1
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maslov-rewiring
maslov的保持度以及度分布不变，随机网络边的算法。(retention maslov and distribution constant, a section of a random network algorithm.)
- 2013-04-22 14:13:44下载
- 积分：1
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cwm
用matlab实现的中心加权滤波函数，中心权重为3，滤波窗口为3*3，参数可自行修改，可进一步改成可变参数函数。cwm_test为测试程序。(Weighted with matlab filter function to achieve the center, the center weight of 3, 3* 3 filter window, parameters can modify, change the variable argument function further.)
- 2010-07-11 23:09:13下载
- 积分：1
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MIMO-OFDMgujiduibi
MIMO-OFDM，不同信道条件下的估计对比程序(MIMO-OFDM, channel estimation procedure compared)
- 2010-09-10 10:51:06下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
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％ 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)
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％ 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
