quzaosheng

一， GUI界面，proj.m 图片选择窗口，testListBoxlj.m 二,最优化算法 PSO.m POWELL.m 三，互信息尺度 MI.m EMI.m RMI.m HiMI.m GMI.m FPMI.m 四，POWELL.m附属子程序 oneDimSearch.m 五，PSO.m附属子程序 myMI.m 六，配准结果检验程序 restore.m 七， gobad.m对图像进行“平移”和“旋转”(First, GUI interface, proj.m picture selection window, testListBoxlj.m II optimization algorithm PSO.mPOWELL.m three or four MI.mEMI.mRMI.mHiMI.mGMI.mFPMI.m-scale mutual information, POWELL.m subsidiary sub- oneDimSearch.m five procedures, PSO.m subsidiary Subroutine myMI.m six, matching the results of testing procedures restore.m 7, gobad.m images )

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem

FSK调制解调程序，中频是15Mhz的，一个码元采样点250个(FSK modulation and demodulation process, 15Mhz IF yes, a symbol 250 sampling points)

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

很难下的几篇关于卷积小波包变化的文献，希望能帮到大家！！(It is very difficult on the convolution of several changes in the literature on wavelet packet and hope to help you! !)

关于SVM toolbox的详细使用说明，使读者可以很快的会使用SVM matlab工具箱(About SVM toolbox for details on these, so that readers can quickly use the SVM matlab toolbox)

根据产生的BA无标度网路模型，计算其平均度分布，以观察模型性质(Produce the BA scale network model to calculate the average clustering coefficient, the nature of the observation model)

个人所写的matlab 命令行启动方法详解(Personal written Matlab command line start method detailed)

emd 代码程序 音频信号的采集和分解，用来做经验模态分解实验。(emd-code program audio signal acquisition and decomposition, used as empirical mode decomposition experiment.)

SVM的实现，采用了SMO算法，用C语言结合matlab接口实现，可在matlab下运行。如果是64位的系统，可在matlab下重新同met.(SVM with SMO)