tls_esprit

说明：  提升小波压缩算法提升小波压缩算法提升小波压缩算法提升小波压缩算法(Lifting Wavelet compression algorithm of wavelet compression algorithm to enhance lifting wavelet compression algorithm lifting wavelet compression algorithm)

说明：  数字pid控制仿真，包括位置式pid算法和增量式算法(figures pid control simulation, including location-pid algorithm and incremental algorithm)

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

用matlab编程验证,傅立叶算法的滤波特性.该程序可实现任意次谐波的滤出。(Programming with MATLAB authentication, filtering characteristics of Fu Liye algorithm. The program can realize arbitrary harmonic filter )

使用须知 1. 文件夹 两个文件夹：Mbook和Mfiles。 Mbook文件夹：存放可以用于教学或自学的Mbook形式的文档。 MFiles文件夹：存放所有例题的M文件，保存的文件名为“Ex+章+序号.m”、“Ex+章+序号.fig”、“Ex+章+序号.mdl”或“Ex+章+序号.doc”。 2. 使用前的准备 （1）软件需要安装Office2000 和MATLAB6.5。 (2) 将文件夹Mbook和Mfiles的内容拷贝到用于教学的计算机的硬盘上。 （3）在MATLAB中将“Mfiles”文件夹添加在搜索路径中 添加搜索路径的步骤为： 在MATLAB界面选择菜单“File”→“Set Path”命令，在打开的设置路径对话框中通过“Add Folder…”或“Add with Subfolders…”按钮打开浏览文件夹窗口来添加搜索目录。 （3）要运行8.1小节的MEX和EXE文件，则需要有与MATLAB6.5适配的Borland C/C++或MicroSoft Visual C++或Watcom C/C++（详见11.2和11.3节）。 （4）要运行8.4小节Mbook文件夹的文件，则需要安装Notebook。 (err)

Estimating State-Space models through Maximum Likelihood_matlab code

一元线性回归和二元线性回归的matlab实例编程 包括有多元线性回归模型(Linear regression and binary linear regression matlab programming examples include multiple linear regression model)

国外自适应滤波器经典教材ppt，课后习题答案，课程部分代码(Foreign adaptive filter classic textbook ppt, answers to the questions, the course of the code)

顺序表奇数在左偶数在右，的数据结构算法，matlab(Order table an odd number in the left an even number in the right, the data structure algorithms, matlab)

偏微分方程的数值解法【matlab例程】经典算法直接应用方便快捷(Numerical Solution of Partial Differential Equations [convenient] classical algorithm matlab routines direct application)