graph-coloring

关于合成孔径雷达成像的非常好的论文。原理分析清楚详细，易懂(On synthetic aperture radar imaging of very good papers. Principles of clear and detailed, easy to understand)

Ackeman函数的递归方法，运用简洁的递归思想实验复杂数学表达式的计算(Ackeman function recursive method, the use of simple recursive thought experiment to calculate complex mathematical expressions)

A coursework that i do in my digital Communication to calculate mean height

说明：  ma yi sparse representation classification .EXTENDED YALE B database.recognition rate 95 。(ma yi sparse representation classification. recognition rate 95 .)

哈希函数的matlab代码，此函数不可逆，具有加密功能。(Hash function matlab code, this function is not reversible, with encryption features.)

定温边界条件下，二维矩形平板的温度场差分数值模拟。(Constant temperature boundary conditions, two-dimensional rectangular plate differential temperature field numerical simulation.)

实现FastICA功能，非线性函数分别选取高斯函数，三次函数和正切函数。(Realize FastICA function, non-linear function were selected gaussian function, three function and tangent function.)

DCT变换：变换域系数选取采用阈值编码，：阈值越小，图像恢复效果越好，但压缩效果差，一般取在5-10 即可很好的获得恢复图像信息。(DCT transform: transform domain coefficients selected using the threshold coding: the smaller the threshold value, the better the image restoration, but the compression is poor, and generally in the 5-10 to get a good recovery image information.)

simulink diode in matlab simulink

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )