biometrics_network_security

基于变换编码的图像压缩及解压，含有离散余弦变换程序。(Transform based image compression and decompression coding)

磁共振成像经典算法sense，对于对并行成像的研究很有帮助(Magnetic resonance imaging classical algorithm sense, for the study of parallel imaging helpful)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

劈分结构时间交织ADC校正仿真 matlab(Split_TIADC_Matlab_Simulation)

说明：  一些经典的Q-learning代码,用MATLAB语言编写，在MATLAB平台可运行(some easy Q-learning code)

一个关于matlab，制作用户界面的程序，很好的学习代码(On matlab, the production of user interface procedures, good learning code)

用多个正弦产生仿真信号,两个阵元接受到信号后,估计两信号的延迟(Simulation generated by a number of sinusoidal signals, the two array element received signal, it is estimated that the two signals delayed)

一种基于快速空间频域算法和位相解包裹的三维重建算法。(Spatial frequency domain based on fast phase unwrapping algorithms and three-dimensional reconstruction algorithm.)

分别利用一维logistic、三维lorenz混沌映射实现任意尺寸彩色图像加密与解密（像素值及其位置都发生了改变）。密钥为混沌序列初始值。（内有详细说明）(Respectively, using one-dimensional logistic, three-dimensional lorenz chaotic mapping to achieve any size color image encryption and decryption (pixel values ​ ​ and their positions are changed). Key to the initial value of the chaotic sequence. (With detailed instructions))

经典的LMS与RLS递归最小二乘算法，有中文注释，很好理解(Classic LMS AND RLS recursive least squares algorithm, Chinese notes, very good understanding.)