-
BP1_txt
利用BP分类器对烟雾图像进行识别,并将结果存储到TXT文档中。(BP classifier use smoke image recognition, and stores the result TXT document.)
- 2014-01-15 15:51:25下载
- 积分:1
-
read-SA-data
正确读取雷达基数据,适合初学者使用,是个不错的例子。(Read correctly radar base data, suitable for beginners to use, is a good example.)
- 2021-03-05 20:09:31下载
- 积分:1
-
segy
针对地震seg数据的各种预处理程序集,例如:格式转换,道头读取等(Assemblies for various pre-earthquake seg data, such as: format conversion, said head reads, etc.)
- 2014-09-11 14:01:24下载
- 积分:1
-
Matlab
讨论了多变量灰色预测模型的算法,给出了多变量灰色预测模型的Matlab程序(Gray discussed the multivariate prediction model algorithm, given a number of variables in the Matlab program gray prediction model)
- 2011-04-29 16:40:14下载
- 积分:1
-
FangAlgorithm
这是跳频的源程序,我的毕业设计做的,希望对大家有帮助和启发(This is the source frequency hopping, I graduated from the design done, and I hope to be helpful and enlightening)
- 2007-01-22 19:02:28下载
- 积分:1
-
DM5
相当好的matlab程序,对建模爱好者来说绝对是好东西(it is very good for everyong)
- 2013-09-14 17:02:56下载
- 积分:1
-
Rate_Reconstruction
Simulation of spring mass use Simulink matlab
- 2013-04-17 10:17:14下载
- 积分:1
-
weitohui
学好数字图像处理,学好matlab,学好vc++,怎么能少了位图转灰度图像c++源码。(you will succeed.)
- 2013-11-08 20:08:06下载
- 积分:1
-
statistika
basic statistics of time series
- 2011-01-28 04:36:33下载
- 积分:1
-
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