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针对数字图片的各种攻击方法，使用Matlab编写。(Digital images for a variety of attack methods, the use of Matlab to write.)

构造一个空的双向栈，判断双向栈是否存在，出栈，入栈，判栈空，将栈置空，判栈满，取栈顶(Construct an empty two-way stack to determine whether there is a two-way stack, out of stack, stack, sub-stack empty, set the stack is empty, sub-stack is full, take the stack)

运用粒子群和改进粒子群算法求解典型函数 具有可视化的功能(And improve the use of particle swarm particle swarm algorithm with a typical function of visual function)

Reconstruction of magnetic resonance images from data not falling on a Cartesian grid is a Fourier inversion problem typically solved using convolution interpolation, also known as gridding. Gridding is simple and robust and has parameters, the grid oversampling ratio and the kernel width, that can be used to trade accuracy for computational memory and time reductions. We have found that significant reductions in computation memory and time can be obtained while maintaining high accuracy by using a minimal oversampling ratio, from 1.125 to 1.375, instead of the typically employed grid oversampling ratio of two. When using a minimal oversampling ratio, appropriate design of the convolution kernel is important for maintaining high accuracy

说明：  七单元天线阵DOA估计 clear clc d=1 天线阵元的间距 lma=2 信号中心波长 q1=1*pi/4 q2=1*pi/3 q3=1*pi/6 q4=3*pi/4 四输入信号的方向 A1=[exp(-2*pi*j*d*[0:6]*cos(q1)/lma)] 求阵因子 A2=[exp(-2*pi*j*d*[0:6]*cos(q2)/lma)] A3=[exp(-2*pi*j*d*[0:6]*cos(q3)/lma)] A4=[exp(-2*pi*j*d*[0:6]*cos(q4)/lma)] A=[A1,A2,A3,A4] 得出A矩阵 n=1:1900 v1=.015 四信号的频率 v2=.05 v3=.02 v4=.035 d=[1.3*cos(v1*n) 1*sin(v2(we)

散点数据生成格网,2d,3d,vc6.0,matlab6.5(Source- scatter data generated grid)

说明：  Auto robots in the matlab environment.

bpsk qam gmsk fsk modulation function

说明：  régulateur pi pour la MAS

Matlab控制测量仪器产生所需的测试信号详细文档,对于特定开发或者不想购买仪器license的人，很有用(Matlab control test intrument like tek or agilent generating signals)