acf-code

利用hough变换检测图像中的直线，得到检测直线的参数与首位端点，并在原图中标出所检测到得直线。(Detection using hough transform image of the straight line parameters to be detected with the first endpoint, and the Original bid to get straight out of the test.)

image segmentation, normalized cut for clustring

those are for MAPCA bsp-15

层数N对光子晶体带隙的影响，不同的介质层数N，即不同的周期数,传输矩阵也不同，光子晶体的反射率和透射率也不同。(Influence of layers N bandgap of photonic crystals)

Chirp Scaling Algoritm

在matlab环境下做的一个语音情感识别系统，有UI界面(In the matlab environment to do a speech emotion recognition system has UI interface)

用matlab编写的基于人脸识别系统,文献可参考"Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题(Prepared using matlab face recognition system based on the literature may refer to " Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection." Procedures have been tested there is no problem running)

说明：  本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(Based on MATLAB 5.2 version of the book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, multi-working platform powerful, user-friendly, natural and open strong language of large outstanding applications, but also have become domestic institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic application of control theory and engineering courses of basic teaching tool. Logically organized book, from beginning to end with an example description content of each chapter is relatively complete and independent MATLAB is a concise reference book, both for beginners or advanced MATLAB users.)

无约束条件的最优控制，并且举例说明程序如何运行(Unconstrained optimal control, and examples)

先做灰階圖片，再利用IMHIST來做統計，在做SMOOTH來讓使用者更容易了解圖片的特色 (Grayscale images do first, and then use IMHIST do statistics, SMOOTH do to make it easier for users to understand the characteristics of the picture)