imnoise2

本文介绍了智能天线准自适应波束形成的仿真算法(In this paper, quasi-smart antenna adaptive beamforming algorithm for the simulation)

利用MMSE Quiescent Pattern Constraints去實現LCMV和LPMV能夠更有效預估JAMMER的方法。(The use of MMSE Quiescent Pattern Constraints to achieve LCMV and LPMV to more effectively forecast JAMMER method.)

一个harris角点检测的MATLAB元代码(a harris corner detection of MATLAB code yuan)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows:

this is an open source and free code for calculation of E&B filed in presence of a current line.

说明：  24篇matlab论文，matlab数据文件输入输出，用户界面编程，以及实例论文(24 papers matlab, matlab data file input and output, user interface programming, and example papers)

混沌吸引子，有logistic,有lonez等(Chaotic attractor, there are logistic, etc. have lonez)

经典书籍《模式分类》杜达编写，包含了其中所有的算法的MATLAB代码，有助于大家对算法的学习。(Classic books " classification" Duda preparation, which contains all of the algorithm MATLAB code, help you learn the algorithm.)

SCA uses for optimization

machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)