clustering_toolbox

说明：  120多个用MATLAB编写的信号处理程序，它们是本书各个章节的大部分例题。用MATLAB编写的程序的名称由“exa”开头，接下来是所在的章、节及例题的序号，如exa010101,指的是第1章第1节（即1.1节）的第1个例题，即例1.1.1。如果该程序是为了说明某一个m文件的应用，则在上述名称的后面跟一个下划线，再在后面加上所说明的MATLAB文件的名称，如exa011001_rand，即是例1.10.1,该例用来说明rand.m文件的应用。(More than 120 signal processing programs written in MATLAB are most of the examples in each chapter of this book. The name of the program written in MATLAB begins with "exa", followed by the ordinal number of the chapters, sections and examples, such as exa0101, which refers to the first example of chapter 1, section 1 (i.e. section 1.1), namely example 1.1.1. If the program is to illustrate the application of an M file, then follow the above name with an underscore, and then add the name of the MATLAB file, such as exa011001_rand, which is Example 1.10.1. This example is used to illustrate the application of rand.m file.)

用matlab语言对数字图像处理进行了系统的阐述，冈萨雷斯的代表作(Gonalez matlab digital image processing using matlab )

电力系统稳定性计算, 频率扩展以及持续算法(power system reliability:extend the frequency and duration techniques)

A classification function

离散傅里叶变换及频谱分析的实验报告，离散时间系统时域、变换域分析的实验报告(Discrete Fourier transform and spectral analysis of the lab report, lab report analysis of discrete-time systems domain, transform domain)

这是贪婪算法的主程序以及它所调用的子程序。(This is the main program of the greedy algorithm and the subroutine it calls.)

从国外网站下载的讲述simulink环境下Power System Blockset模块使用方法的手册。(From abroad website simulink environment on the Power System Blockset modules use the manual.)

说明：  比较全面的MATLAB编程教案，共十四个PPT涵盖MATLAB编程各方面。(MATLAB programming more comprehensive lesson plans, a total of fourteen PPT covers all aspects of MATLAB programming.)

说明：  matlab实现EBMA, 通过HALF PIXEL的算法来实现对图像的压缩.(matlab implementation EBMA, by HALF PIXEL algorithm to achieve image compression.)

In histogram equalization we are trying to maximize the image contrast by applying a gray level transform which tries to flatten the resulting histogram. The gray level transform is a scaled version of the original image s cumulative histogram. That is, the graylevel transform T is given by T[i] = (G-1)c(i), where G is the number of gray levels and c(i) is the normalized cumulative histogram of the original image.