MATLAB

这是图像识别方法bag of feature 的matlab源代码(This is image recognition method bag of feature matlab source code)

说明：  MATLAB编写的中值滤波函数，可用于一维数据的平滑处理。(The median filter function written in MATLAB can be used for smoothing one-dimensional data.)

基本使用说明如下： 1、文件夹中均为MATLAB软件M文件程序； 2、程序文件为每一章节中例题的MATLAB程序电子版，程序名与例题名序号相对应； 3、此文件夹中的程序已经经过调试，在MATLAB 7.0或以上版本中均可以正常运行； 4、程序头中功能介绍了此程序的主要实现的功能。 (Basic use is as follows: 1, folder files are MATLAB software M procedures 2, the program file for each of the sections in the example of the electronic version of MATLAB program, the program name and serial number of the corresponding sample questions 3, in this folder procedures have been debug, in MATLAB 7.0 or above in both the normal operation 4, the procedure first introduced in the function of this program the main function.)

雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真(雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真雷达系统仿真)

说明：  毛拉贝库算子的MATLAB实现,用于计算图像的特征点(hair Rabe Operator for the MATLAB used in the calculation of the image feature points)

包含了几乎所有的聚类算法，用matlab实现的。里面有demo示例，可直接运行。(Contains almost all of the clustering algorithm, implemented using matlab. There are demo example, can be directly run.)

With HS conjugate gradient method for solving unconstrained problem

LLR仿真 157循环编码 llr译码 BPSK信号高斯噪声(LLR 157 loop simulation BPSK signal decoding coded llr Gaussian noise)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

The recognition of a human being through his voice is one of the simplest forms of automatic recognition because it uses biometric characteristics which come from a natural action, the speech. Speech, may be the cheapest form to supply a growing need of providing authenticity and privacy in the worldwide communication network