chapter3

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The program in Simulink to generate turbo codes

求解二维电磁场散射 非常准确 非常快 并且可以用来仿真亚波长的的新现象(Solving two-dimensional electromagnetic scattering very accurate and very fast simulation can be used to sub-wavelength of the new phenomenon)

用kmeans初始化em算法，并用高斯回归进行拟合，用于图想的聚类(Kmeans initialization using EM algorithm, and the use of Gauss regression fitting, used to map the clusterin)

matlab实现的2类、3类、4类、5类cmeans算法(matlab implementation of Class 2, Category 3, Category 4, Category 5 cmeans 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.

pss simulink to show the behavier of system

histogram equalization in matlab

用CCS编的FIR滤波器，滤波系数用matlab计算(FIR filter。)

GA2 for single Machin Problem