imaging-processing

主要是用于产生cdma通信信道当中相关内容(Is mainly used to produce cdma communication channel among the relevant content)

特征分解型求取离散分数阶傅里叶变换 特征分解算法通过求ＤＦＴ的核矩阵Ｆ（ｋ，ｎ）的特征值 和特征向量构造ＤＦＴ核矩阵的分数幂，以此作为Ｆａ（ｋ，ｎ） 来计算ＤＦｒＦＴ。(The kernel matrix eigenvalue decomposition algorithm for DFT F (k, n) characteristic value And the feature vectors are constructed as the fractional powers of the DFT kernel matrix, which are used as Fa (k, n) To calculate DFrFT.)

本例用五点差分法求解一个二阶偏微分方程，其间用SOR迭代求解(This example uses a five-point difference method for solving second order partial differential equations, with the SOR iterative solution during)

结构动力分析计算节点垂直方向的动力响应matlab程序(Dynamic Analysis of compute nodes vertical dynamic response matlab program)

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)

说明：  UUV 编队模型，matlab仿真程序。。。(UUV formation model, matlab emulator.)

matlab下神经网络工具箱的开发和应用 很有参考价值(matlab neural network toolbox of the development and application of valuable)

最新台湾中央大学HHT程序；包含一个实例，EMD工具和EEMD工具；可以求瞬时频率(A few examples of how to use these programs are given, with a given dataset “gsta.dat”, which is the annual mean global surface temperature anomaly. In “gsta.dat”, the first column is the time and the second is the corresponding data value.)

rough set for clustering version 1

利用Canny的方法实现边沿检测，核函数采用高斯核，sigma大小可以任意调节，阈值也可以任意选。界面优美。(Does the method of using Canny edge detection, the function USES the gaussian kernel, sigma size can be adjusted, and the threshold can be arbitrarily chosen. Beautiful interface.)