mw_NBdenoising2

本程序可仿真IEEE802.16e LDPC编解码器，程序设计原理见本人如下专著。 [1] 肖扬著, Turbo与LDPC编解码及其应用,人民邮电出版社，2010. [2] 肖扬著, MIMO多天线无线通信系统，人民邮电出版社，2009。 本程序只用于科研，不得用于其它场合。(The program can simulate LDPC codec with IEEE 802.16e LDPC of the size 2256*4512, and 1/2 code rate. Copyright (C2010-2015) Yang XIAO, Beijing Jiaotong University, Nov.3, 2010, E-Mail: yxiao@bjtu.edu.cn. Current Version Published: 2010-11-3 In my following books, I derived the algorithm of constructing the parity check matrices of IEEE 802.16e LDPC. [1] Y. Xiao, Turbo and LDPC Codecs and their Applications, Press of Posts and Telecommunications, Beijing, 2010. [2] Yang Xiao, MIMO Multiple Antenna Wireless Communication Systems, Press of Posts and Telecommunications, Beijing, 2009. This program also provides the LDPC code with the size 4512*2256, and 1/2 code.)

二维正态分布的检验函数，如果需要进行二维正态分布的检验，在你的程序运行前运行此程序，就可直接调用函数功能。(Dimensional normal distribution test function, if you need a two-dimensional normal distribution test, run your program before you run this program, you can directly call the function function.)

SARBM3D A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage

matlab常用命令集合，便于大家查找，希望能够有用对大家(matlab common command set for everyone to find, useful for all of us hope to be able)

that is so important code of matlab in back propagation !

matlab当中的滤波器工具（调用及制作）的使用文档(matlab doc)

Kalman filter for tracking menuvaring target. there are codes for const speed, const allc, and randn allc. enjoy

ACTIVLEV Measure active speech levelin voice commands

本文件介绍了MATLAB7在数字信号处理领域中的一些最常用的函数，是一本很好的手册！(This file MATLAB7 introduced in digital signal processing in the field of some of the most common function, is a very good manual!)

1. 在matlab中分析基于分离变量法的解析解； 2. 利用简单迭代法求解，与解析法结论对比，分析求解结果的精确度。分析过程至少包括：在网格尺寸为0.1 m和1 m两种条件下，两次迭代差值最大为10-10时的分析结论； 3. 利用超松弛迭代法分析，选择松弛因子，分析其对收敛速度（即迭代次数）的影响，并确定最优值。分析过程至少包括：在网格尺寸为0.1和1两种条件下，两次迭代差值最大为10-10时，迭代次数随松弛因子的变化，得到对应的最优松弛因子，与经验值（课本165页式子3.7.15）进行对比。(1. Analyze the analytical solution based on the separation variable method in matlab. 2. Using a simple iterative method to solve, compared with the results of the analytical method to analyze the accuracy of the solution. The analysis process at least includes the following conclusions: when the mesh size is 0.1m and 1m, the maximum difference between two iterations is 10-10. 3. Analyze using the relaxation relaxation iteration method, select the relaxation factor, analyze its influence on the convergence speed (ie the number of iterations), and determine the optimal value. The analysis process at least includes the following: when the mesh size is 0.1 and 1 and the maximum difference between two iterations is 10-10, the number of iterations varies with the relaxation factor, and the corresponding optimal relaxation factor and empirical value are obtained ( Textbook 165 pages (3.7.15) for comparison.)