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ex1
染色体识别与统计,识别其中的染色体并统计其数目,我们采用Matlab平台提供的一些图像处理函数.(Chromosome identification and statistics, to identify the chromosome and the number of statistics, we have adopted a Matlab platform provides a number of image processing functions.)
- 2009-04-21 09:47:24下载
- 积分:1
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simulink
tests on simulink-matlab, crating filters parallel or cascade
- 2010-03-04 18:42:07下载
- 积分:1
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88stochasticdifferential-111
很好的实用的随机微分方程求解工具箱,可以用来求解随机微分方程,还可以用于金融工程应用经济学等(Good practical stochastic differential equation toolbox)
- 2012-04-21 11:02:48下载
- 积分:1
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D_2CFAR
两部传感器,相互采用CA-CFAR性能分析,并比较了不同融合准则下的性能(Two sensors each other using the CA-CFAR performance analysis, and compare the performance of different fusion criterion)
- 2012-05-24 00:19:37下载
- 积分:1
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apsk-ruanpanjue-
apsk软判决算法的仿真,根据星座特点进行算法的简化,减低复杂度(Simulation apsk soft decision algorithm based on the characteristics of the constellation simplified algorithm to reduce the complexity of)
- 2013-12-05 18:02:41下载
- 积分:1
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EKF
杂波环境下基于EKF的多传感器的数据融合(Clutter environment EKF-based multi-sensor data fusion)
- 2008-01-08 11:54:10下载
- 积分:1
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ssft-for-nls-by-matlab
使用matlab研究光脉冲在光纤中的传播(ssft for nls by matlab)
- 2012-08-23 18:36:09下载
- 积分:1
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giuyai_v35
外文资料里面的源代码,验证可用,小波包分析提取振动信号中的特征频率。( Foreign materials inside the source code, Verification is available, Wavelet packet analysis to extract vibration signal characteristic frequency.)
- 2016-12-19 10:23:19下载
- 积分:1
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cl3
cl3多小波也是一个比较热门的多小波,应用的也比较广泛。(Multiwavelet CL3 is a more popular Multiwavelet, and more extensive applications.)
- 2009-03-19 15:21:51下载
- 积分:1
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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