illumination

本程序是基于ridgelet和小波的图像分割，内附有程序运行的图像(This procedure is based on the Ridgelet and wavelet for image segmentation, enclosed to run image)

This code is try to change in image

形态学代码，腐蚀膨胀循环结构，和重构信号，几个代码，完全自己编写。(Morphological code, corrosion expansion cycle structure, and the reconstructed signal, a few code, write your own completely. )

k-modes聚类算法，其中包含F1-measure、聚类纯度和聚类准确率等评价指标，还有一个测试数据集，直接点击main即可(K- modes clustering algorithms, including purity of F1- measure, clustering and clustering accuracy uation index, and a set of test data, click the main directly)

说明：  自从发表《RS纠错编码原理及其实现方法》以来，收到很多初识RS编码的读者的来信， 大家纷纷表示这篇文章对初学者很有帮助，但同时也指出了很多不足。比如第一版的例子中都是按照码长 ， 但在实际应用中并不总是这种情况，还有就是MATLAB程序，由于作者在工程中是在DSP上用C实现的， 所以文章中的MATLAB程序只是用来说明问题，并没有经过调试。做事应该有始有终，这次修改， 附有详细的经过调试的MATLAB程序。并尽量做到程序具有通用性。(Since the publication of RS error-correcting coding theory and method, since the RS coding acquaintance received a lot of letters from readers, we have expressed this article helpful to beginners, but it also points out the many deficiencies. For example, the case of the first edition are in accordance with the code length, but in practical applications is not always such a situation, there is a MATLAB program, because the author works in the DSP using C to achieve, so the article in MATLAB program is used to describe the problem and not debug. Things should stay the course, this changes with the detailed procedures after debugging MATLAB. And as far as possible the procedures are inter-operable.)

Hanning,hamming , blackman window在头部扫描图像中的应用和功能区别。(The use of hanning window, hamming window and blackman windou in brain scanning.)

S_函数使用及应用举例，本书详细的介绍了关于matlab中simulink仿真的基础知识(simulink S-function example)

10年数模赛题alpha、beta角求法，利用最小二乘法求解(10 model years of the contest problems alpha, beta angle Method, using the least squares method)

说明：  L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, and are suitable for large-scale problems

利用LPC算法实现对于语音信号的特征提取，将一帧的语音信号用简化模型的参数来表示(The use of the LPC algorithm to extract to achieve For the the characteristics of of the voice signal, will the the a of the voice to represent the by the signal with a simplified the the the parameters of of the model)