paper3

this codes are not so important but they are useful to learn matlab signal processing

简介：IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。 文件清单： IFP_FCM算法原始论文： Improved fuzzy partitions for fuzzy regression models.pdf 程序清单： IFP_FCM.m - IFP_FCM算法主函数 initifp_fcm.m - initifp_fcm子函数 stepifp_fcm.m - stepifp_fcm子函数 distifp_fcm.m - distifp_fcm子函数 IFP_FCM_T_S_box_test.m - IFP_FCM测试实例：Box和Jenkins煤气炉数据T-S模糊模型辨识 数据文件： box_data.mat - Box和Jenkins煤气炉数据(IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.)

说明：  滤波反投影算法 迭代实现图像的重建算法 滤波反投影算法 迭代实现图像的重建算法(FBP algorithm FBP algorithm FBP algorithm FBP algorithm FBP algorithm FBP algorithm )

实现多帧图像的配准，在matlab文件中，图像的读入部分需要自己补入图像路径或自己读取图像数据保存如ImgSource即可(Multi-frame image registration in matlab file, the reading section of the image into the image path needs to be add by the readers, or save the read image data as ImgSource)

RLS算法的一个简单仿真，实现了原始信号的去噪(An RLS algorithm example)

RSA algorithm is one of the main encryption and decryption algorithm.

A Topic Modeling Toolbox Using Belief Propagation，一种用BP算法建立主题模型的算法，计算速度较快。有说明文档。(A Topic Modeling Toolbox Using Belief Propagation, a topic model established by BP algorithm algorithm to calculate faster. There documentation.)

说明：  该书的英文版是国外电子信息类优秀教材，国内外很多学校采用它作为教材，基本上是学习matlab的经典和权威书籍了，但是中文修正版没有（虽然是网友自己翻译的），但还不值得一看的。(The English version of the book is the best type of foreign electronic information materials, both at home and abroad, many schools use it as teaching material, is basically a classic learning matlab and authority of books, but there is no Chinese version of the amendment (although the users own translation), but also not worth a visit.)

对具有随机噪声的二阶系统的模型辨识及其被辨识系统的辨识结果(Second order with random noise on the system model and its identification system identification results are)

有一学生成绩管理数据库如下表，要求建立一SAS数据集score，并输出显示 创建一个新的数据集class，新增平均成绩aver变量和等级考评grade变量，grade的值是根据aver值的大小给出A、B、C、D四个等级，并显示新数据集class(A student achievement management database as the table, called for the establishment of a SAS data set score, and output display create a new data set class, add an average score aver evaluation variables and grade level variables, grade values are based on the size of a aver value the A, B, C, D four grades, and displays the new data set of class)