yantu

升余弦滤波器的matlab仿真程序，使用matlab2008编写(Raised cosine filter matlab simulation program, using matlab2008 write)

actionscript 3 tutorials. this might help. i hope

Cbook for beginer aswell as geek

测量稀土元素的光谱的matlab程序,可以作图，十分简单方便(REE spectra measurements matlab program, you can plot is very simple and convenient)

贪食蛇小游戏的matlab代码，上下左右键控制，下载直接运行即可使用。(Matlab code Snake game, up and down keys to control, you can use downloaded directly run.)

这次提交包含简单的和直接的职能配置和情节机械臂运动学变换矩阵的计算着。用户只需指定要生署参数矩阵（在Craig的机器人学导论书定义的标准） 该文件包含5个功能和1例。 随意修改补充和完善的代码。(This submission consists of simple and straight forward functions that plots robotic arm configurations and computes forward kinematics transformation matrices. The user has to simply specify the DH parameter matrix (the standard defined in craig s Introduction to Robotics book) The file contains 5 functions and 1 example. Feel free to modify add and improve on the code.)

his is a direct and complete translation of the Gauss codes of Bai, J. and P. Perron (1998) Estimating and Testing Linear Models with Multiple Structural Changes Econometrica, vol 66, 47-78 and Bai, J. and P. Perron (2003) Computation and Analysis of Multiple Structural Change Models Journal of Applied Econometrics, 18, 1-22, provided by Pierre Perron (version 3, October 11, 2004). All the notice in the original Gaiss codes remain valid. For users, run brcode.m . The procedure is explained in the same m file and in each function file. June 20, 2012 Yohei Yamamoto Email: yohei.yamamoto@econ.hit-u.ac.jp

排队论问题的matlab仿真程序，梦特卡罗算法写的(queuing theory emulated using Monte Carto arithmetic)

说明：  Malab实用的编辑程序，能够帮助大家实现遗传算法的编程。(Malab useful editing program, can help you achieve the programming of genetic algorithm.)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.