yunmoxing

SCI论文《One-way Hash function construction based on the chaotic map with changeable-parameter》的matlab代码实现(the source code for SCI Paper《One-way Hash function construction based on the chaotic map with changeable-parameter》)

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 )

current in buck cover.

Low density parity check matrix(Description A program written for generating LDPC matrix in the as pattern as discussed in the research paper , " Time varying periodic convolutional codes with low density parity check matrix" by Alberto jiménez Felströ m and Kamil Sh. zigangirov IEEE Transaction on information theory vol 45 no 6 sept 1999. pages 2181-2191)

LS ESPRIT for frequency estimation

柴油机及其他动力振动系统，振动烈度的计算(Diesel engines and other power vibration system, vibration intensity calculation)

说明：  这些文章讲述了分步傅里叶方法，通过这些方法可以数值解非线性薛定谔方程，并且模拟光在光纤中传输随距离变化的状态，是学习光传输比较好的资料(The article was about a split-step Fourier method, numerical solution of these methods can be non-linear Schrodinger equation, and simulation of optical fiber transmission in the state of change with distance, is to learn good information on optical transmission)

说明：  正态总体参数的检验,调用ztest和ttest函数(Inspection normal population parameters)

程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。(Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.)

双基地声呐定位精度GDOP的分布图，以及与单站方位估计误差的关系。(Bistatic sonar maps GDOP positioning accuracy, as well as the relationship between the error of estimation and single station azimuth.)