cs

good code Files: (see file headers, or type help file in MATLAB, for more info) README - this file trainEM_tree.m - function that takes a wavelet transform, a number of states, and a maximum number of iterations and returns HMT parameters. No convergence criteria is specified right now (easily fixed), it just runs a specified number of iterations (default 30).

GM(1,1)模型1-4 1：GM(1,1)模拟模型，在matlab中的输入方法为gm1（x），x指要模拟的序列。 2：GM(1,1)预测模型，在matlab中的输入方法为gm2（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 3：GM(1,1)群模拟模型，在matlab中的输入方法为gm3（x），x指要模拟的序列。 4：GM(1,1)群预测模型，在matlab中的输入方法为gm4（x，K），x指要模拟的序列，K指从以后序列第一个数据算起的第k个待预测数据。 gm4对序列趋势比较好的数据预测效果较好，对上下变动的数据，特别是后4个数据趋势跟前面的数据相反的，预测效果很差。 gm2对上下变动的数据，预测效果比gm4好，但对趋势较好的数据，预测精度没有gm4高。 gm3比gm1模拟精度要高。 可以以x=[1 3 5 7 9 11 13 15]进行实验。x输入默认行向量。 所有程序在matlab6.0上调试通过。(GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu)

矩形波的产生，分三个步骤，第一步先产生矩形波，然后画出产生矩形波的源代码 (Rectangular wave generated in three steps, the first step to produce the rectangular wave, and then draw rectangular wave generated source code)

matlab 做图像平移和旋转 用的是领域插值法 二次线性插值 另外还有一些调用matlab自带函数的编程(matlba image shift and rotate)

非常好的matlab代码，欢迎下载分享学习！！！(this is a very good！！！！！！！！！)

该程序为经典的贝叶斯分类源代码，不仅可以应用于地球物理中的岩性和岩相划分，也可以做储层参数预测！(The source code for classic bayesian classification, the program not only can be used in the lithology and lithofacies division in geophysics, reservoir parameter prediction can also do! )

这是一个基本的PCA方法实现人脸图像压缩与重建，可以非常快捷的将一些无法辨别的人脸图像进行快速的拼接。(This is a basic PCA method to achieve image compression and reconstruction of the face, can be very quick to identify the human face that can not be quickly spliced images.)

psk and pam modulation and demodulation with noise

简单的CMA算法,适合初学者来学习，自己编写的，望采纳。(simple CMA algorithm)

pso解决tsp问题 matlab源码 可做为学习参考(pso to solve the problem tsp matlab source code can be used as study and reference)