LMSwave

用于HDB3的编解码，用matlab仿真，有完整的程序(Used for encoding and decoding of HDB3, matlab simulation, the complete program)

稳态kalman滤波算法仿真通式 本程序考虑线性离散时不变随机系统。系统模型为x(t+1)=fai*x(t)+gama*w(t) y(t)=H(t)*x(t)+v(t)。有6个参数：状态转移阵fai，输入噪声系数gama，观测阵H，输入 噪声方差Q，观测噪声方差R，观测y( Steady-state kalman filtering algorithm simulation program to consider the general form linear discrete time-invariant stochastic system. System model x (t+1) = fai* x (t)+ gama* w (t) y (t) = H (t)* x (t)+ v (t). There are six parameters: state transition matrix fai, input noise figure gama, observation matrix H, enter noise variance Q, observation noise variance R, observation y)

本程序是西电博士开发关于角点检测的程序代码和相关的论文，学习和应用价值极大(Matlab codec of Corner Detection and Classification)

实时读取MIT数据库中的二进制文件，并显示ECG信号(Real-time read the MIT database binary files and show ECG signal)

阵列信号处理，采用遗传算法对阵列进行稀疏化处理，对于研究阵列天线的学者有帮助(Array signal processing and sparse processing with genetic algorithm are helpful to scholars who study array antenna.)

这是基于邻域粒化和粗糙逼近的数值属性约简matlab代码(This is a neighborhood-based grain and rough approximation of the value of attribute reduction matlab code)

RankNGG 算法实现. 含有dll文件。源码为matlab(RankNgg algorithm implementation .)

图像分割是进行图像理解与分析的基础,是图像工程技术中的一个重要问题, 也是图像处理的经典难题。彩色图像比灰度图像具有 更多的视觉信息, 因而受到了越来越多的重视。文章将彩色图像的分割技术分为三大类,并分别加以系统概括, 分析了各种方法的优缺点。(Image segmentation is the image understanding and analysis of the basis of the image engineering technology is an important issue, but also the classical image processing problems. Color image than the gray image with more visual information, which are more and more attention. Article will color image segmentation techniques into three categories, and to the system were summarized, analyzed the advantages and disadvantages of each method.)

基于MATLAB的语音滤波器，通过MATLAB使原来的语音信号分别进行带通，高通，低通滤波，得到更好的效果(MATLAB-based voice filter through the MATLAB so that the original speech signal, respectively, for band-pass, high pass, low pass filter, to get better results)

一种基于图像训练的字典构造方法，可以用来进行压缩感知的基矩阵构造(Based on image training dictionary construction method can be used for compressed sensing-based matrix structure)