see

该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。(The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understand computer vision methods. Thus, some methods were re-implemented, even if matlab has the methods originally, when their source codes are not available. For example, kmeans algorithm was re-implemented. Howerver, notice that the built-in functions are faster than functions created in this toolbox because the built-in functions are mostly written in C. )

This program is used for face recognition

EProm 试验程序，调试成功，解释详细(EProm testing procedures, testing success, to explain in detail)

《射频电路设计——理论与应用》一书课后习题第五章Matlab程序代码("RF circuit design-- Theory and Application," a book OSCAR Exercise fifth chapter Matlab code)

Gauss best fit approximation

说明：  This code simulated one dimensional structure resonance by moment method

编写matlab的gui函数进行处理的代码，基本上包括处理里面的最基本处理，比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，hMdQaa，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；增强里面的加噪声，YUoocRN方法，锐化，伪彩色增强；分割里面的灰度阈值法，调试可以运行的。 (Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, hMdQaa , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,YUoocRN method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run. )

实现锁相环的基本功能，主要是用matlab实现相关的功能(PLL to achieve the basic functions, mainly related functions using matlab)

Embedded Control Systems in CC++ An Introduction for Software Developers Using MATLAB

SMF-28折射率、群速度、材料色散、波导色散、总色散、包括SMF的基本底层参数。(SMF-28 refractive etc)