椭圆约束主动轮廓视盘分割

read a file and convert it to binary ,so u can modify it and see ones and zeros

一个用ATSAM7S64的例子，初学者可以(A used ATSAM7S64 example, beginners can)

Express gatool use of MATLAB in the implementation of training neural network genetic algorithm procedure

说明：  matlab应用于神经网络：数字卡片0~9奇偶识别(matlab neural network applications: Digital Card 0 ~ 9 parity Recognition)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

用maple和matlab解决科学计算问题，很好的教程(Solve scientific computing problems, good tutorial with maple and matlab)

创建一个CIFAR10DATA需要用到的一个matlab基础函数，可能系统版本中没有需要自行编写。(CREAT a CIFAR10DATA set,it may not excise in u matlab,need edit by youself.)

说明：  矢量网络法散将射参数转化为介电常数 本代码计算需要的输入值为：d(超材料厚度方向的周期常数)，f(频率的变化范围)，S(通过CST或HFSS软件计算得到的散射参数)(The vector network dispersion transforms the radiation parameters into the dielectric constant Input values required for calculation in this code are: D (periodic constant in the direction of metamaterial thickness), F (range of frequency variation), S(scattering parameters calculated by CST or HFSS software))

说明：  波形的合成与分解。 用matlab编的。可以合成三角波，方波，并分析它们的频谱。有详细的说明。(Synthesis and decomposition of waveforms. Made use of matlab. Can be synthesized triangular wave, square wave, and an analysis of their spectrum. Is described in detail.)

Download the file town .jpg, which is a 1024×768, 256-grayscale image taken on a bright sunny day. The image was taken in the shadow of a building. As the result, the sunlight areas are glaring white and the shadow areas are dark and low contrast. Using the image enhancement techniques covered in class, increase the contrast and the brightness of the dark areas, and reduce the brightness of the sunny areas