pacc

实现超宽带信号在自由空间，室内的传播过程，该过程通过FDTD技术来实现。(Through FDTD technology,we simulate the process that UWB signal transmits in freespace)

UN AUTRE MONDE DE LA VISION.............MATLAB..................SEGMENTATION

应用PCA进行特征提取和降维，可以应用于数据挖掘，机器学习，人脸识别上！(Application of PCA for feature extraction and dimensionality reduction can be applied to data mining, machine learning, face recognition on!)

说明：  可计算地下洞室的围岩稳定问题，模拟地下洞室的开挖、支护过程，介质可以是均质体，也可以是分区变化的非均质体，还可有夹层、节理等。(Calculate the stability of underground rock caverns, underground excavation simulation, supporting the process, the media can be a homogeneous body, you can also change the partition of non-homogeneous body, but also as a layer, joints and so on.)

说明：  利用MATLAB对规划问题进行处理，含有PPT介绍。(The use of MATLAB deal with planning matters, containing PPT introduced.)

一些常用的matlab程序，对于入门学者有很大的帮助，每一个程序均有详细的说明(Some commonly used matlab program for entry scholar of great help, every program has a detailed description)

控制程序，滑动变阻箱控制，以实现电阻可调(Control procedures, sliding variable resistance box control, in order to achieve resistance adjustable)

说明：  遗传算法用于求函数最大值，可以修改函数名和迭代次数(A function of genetic algorithm is used to seek the maximum, you can modify the function name and the number of iterations)

％ 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)

说明：  用Matlab编写的自动多阈值分割程序，分割图像之前采用自动平滑图像(prepared using Matlab automatic threshold segmentation procedures, image segmentation before the introduction of automatic image smoothing)