-
Clustering_Coefficient
根据邻接矩阵计算网络的聚类系数。输入为邻接矩阵输出为整个网络的聚类系数(cluster coefficient)
- 2021-04-19 15:18:51下载
- 积分:1
-
kechshjisuidongxitong
说明: 已知某控制系统结构图如下所示,要求设计校正环节G(s),使系统对于阶跃输入的稳态误差为零。使系统校正后的相角裕量γ≥45°,幅值裕量kg≥10db。(Known structure of a control system as shown below, links to design correction G (s), allowing the system to step input for the steady-state error to zero. The system after correction phase margin γ ≥ 45 °, the amplitude margin kg ≥ 10db.)
- 2008-11-30 19:01:22下载
- 积分:1
-
PSOPLBG0316
基本蜂群的另一种实现形式~~~~~~~~~~~~~~~~~~(basic ABC)
- 2012-05-08 09:21:54下载
- 积分:1
-
LibSVM-analisis
对libsvm 的结构参数、核函数、svm预测以及训练等几个方面进行了详细的分析(It s detailed analysis Libsvm of the structural parameters and kernel function, SVM forecasting and training and so on.)
- 2012-03-03 22:54:06下载
- 积分:1
-
Snake
Hi
This mfile is source code for image segementation using active contour models [Snake]. It found the objects in imaages.
- 2009-02-25 23:15:11下载
- 积分:1
-
voicebox
Matlab语音处理工具箱,很多语音处理m文件(Speech Processing Toolbox Matlab, many voice processing document m)
- 2008-04-01 18:22:07下载
- 积分:1
-
7.1
对应不同的a值产生一组矢量来表示高斯脉冲波形,并计算其相应的ESD。最后,画出了各个a值所对应的脉冲波形及其ESD(a different corresponding values of a group vector to express Gaussian pulse waveform, and calculated the corresponding ESD. Finally, paint all of a value corresponding to the pulse waveform and ESD)
- 2007-03-27 19:42:25下载
- 积分:1
-
Field_II
丹麦工业大学FIELD声场仿真工具包,matlab编写(Denmark Industrial University FIELD sound field simulation tool kits prepared Matlab)
- 2007-05-16 20:24:44下载
- 积分:1
-
6268hough
hough变换的检测函数,调试成功的,可以用,对于圆检测很有帮助,大家可以学习一下(hough transform function testing, debugging successful, you can use, very helpful for circle detection, we can learn about)
- 2010-07-24 16:48:28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