线性矩阵不等式(LMI)求解

Image Enhancement using pixel information

这是一个完整的基于联合概率和先验模板的目标跟踪代码，运用APG求解最小化问题，有详细注释。(This is a complete object tracking code based on joint probability and a priori template. It uses APG to solve the minimization problem with detailed annotations.)

An example of an interactive GUI in matlab

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.)

this document about application of fractal

采用集中质量法求解水平成层场地的地震响应，其中包含newmark求解动力方程(Quality level of a centralized method for solving the seismic response of layered space, solving the dynamic equation which contains newmark)

是对巴特沃斯滤波器设计的详细讲述，对于初学者有很好的帮助。我觉得比较实用。(Butterworth filter design is described in detail for the beginners have a good help. I think the more practical.)

运用MATLAB对工业产品的设计进行仿真技术与应用(The use of MATLAB simulation technology and application design of industrial products)

（1）人脸图像的采集 （2）人脸图像增强：去噪、均衡、尺寸归一化、倾斜校正等 （3）脸部肤色区域分割：采用肤色模型检测与分割人脸肤色区域 （4）脸部五官区域分割：采用算法将人脸分割成眉毛、眼睛、鼻子、嘴巴等多个区域((1) Facial image acquisition (2) Face Image Enhancement: Denoising, Equalization, Size Normalization, Tilt Correction, etc. (3) Facial skin color region segmentation: using skin color model to detect and segment face skin color region (4) Facial Five-sense Region Segmentation: Face is segmented into eyebrows, eyes, nose, mouth and other regions by using the algorithm.)

Selective Repeat ARQ / Selective Reject ARQ is a specific instance of the Automatic Repeat-Request (ARQ) protocol used for communications.