圆阵DOA估计

用matlab实现基于网格匹配的图像拼接，其中网格大小需要自己依据图片大小进行调整(Using matlab to achieve grid-based matching of image mosaic, in which the size of the grid need to be adjusted based on image size)

本书以最新版的MATLAB6为依据，详细介绍了MATLAB的基础知识及其在图形绘制和图像处理方面的应用(The book is based on the latest version of MATLAB6, details the basics of MATLAB and its graphics rendering and image processing applications)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

MATLAB 6_5 辅助优化计算与设计 1、文件命名说明 a)文件夹“第1章”中的文件对应书中第1章的例程，其他以此类推； b) 文件名exampleX1_X2.m：对应例程X1_X2 例如：example2_1表示例程2_1. 2、注意 为了方便起见，书中的每一个例程存为一个文件；而有些例程中将其调用的函数文件也放在这个例程文件中，所以读者在运行光盘中的例程文件时注意这一点，如果是这样的例程文件应该将其调用的函数文件分离出来另存为一个文件。(MATLAB 6_5 Auxiliary and Design Optimization 1, Note document naming a) folder "Chapter 1" in the document corresponding book Chapter 1 of the routines, other analogy; b) Name exampleX1_X2.m : X1_X2 corresponding routines such as : example2_1 said two compression routines. 2, the attention for the sake of convenience, Each book deposit for a routine one; Some routines will call a function of its documents on the routines document, Therefore, the reader is running the routines CD document to this point, If this is the routine document should be called to separate the function documents saved as a file.)

introduction to parallel programming e-book

光栅电磁场理论问题的Rayleigh-Fourier方法求解，针对TE偏振下p=1的单层介质光栅。(Rayleigh-Fourier method for grating)

digital image processing

说明：  i am upload the matlab programme

说明：  基于FCM的数据聚类分析及Matlab 实现 戈国华, 肖海波, 张敏 ( 江西理工大学信息工程学院江西赣州341000 ) 【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演 示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。(FCM clustering analysis based on the data and Matlab implementation Ge Guohua, Xiao Haibo, Zhang Min (Institute of Information Engineering, Jiangxi University of Ganzhou, Jiangxi 341000, China) Abstract: Clustering is commonly used in data mining, data analysis techniques. This paper describes the FCM clustering algorithm theory and implementation steps. And demonstrates the use of Matlab for data clustering FCM. The results show that the FCM algorithm is an efficient data clustering algorithm, a very wide range of applications.)

说明：  image task 1 by me and my friend