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遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph " Adaptation in Natural and Artificial Systems" , GA This name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

用matlab对摄像头进行编程，读取数据并进行处理(Using matlab to program the camera to read the data and processing)

超宽带中，基于MB-OFDM的信道估计的MATLABA仿真程序(UWB based on MB-OFDM channel estimation MATLABA the simulation program)

说明：  相控阵天线六边形阵与矩形阵方向图，圆形喇叭天线方向图(Phased array antenna array and hexagonal array pattern of rectangular, circular horn antenna)

求连续函数的卷积，利用matlab中的conv函数实现(Seek a continuous function of the convolution, using the conv function in Matlab to achieve)

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.

Matlab function to generate a random vector with entire values without repetition.

FCMTHRESH Thresholding by 3-class fuzzy c-means clustering [bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu s methold which outputs larger or smaller threshold on fluorescence images. sw is 0 or 1, a switch of cut-off position. sw=0, cut between the small and middle class sw=1, cut between the middle and large class Contributed by Guanglei Xiong (xgl99@mails.tsinghua.edu.cn) at Tsinghua University, Beijing, China. Please try testfcmthresh.m first!

MATLAB sar 距离多普勒域成像算法，无距离徙动校正(MATLAB sar RDA imaging)

几个matlab代码，主要针对初学matlab编程者，提高自己的编程能力(Several matlab code, mainly for the beginner matlab programmers to improve their programming skills)