96809982CoolPlayer219_Src

说明：  matalb语言的潮流计算程序，方法用的是牛顿拉夫讯的直角坐标系，程序非常简单而且通用性很强(language matalb flow calculation procedures, methods using a Newton hearing Love the Cartesian coordinate system, the program is very simple and very common)

说明：  基于小波的图像压缩的MATLAB程序，可以运行，我试验过(Wavelet-based image compression MATLAB program, you can run, I tried)

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 )

股票指数模拟为几何布朗运动，GBM。 参数有五个： s0，dt（time step），均值，标准差，到期时间T； 利用子函数进行10万条轨道的monte carlo 模拟到期日（3个月）的指数点数，从而估计在买入信号出现后，3个月后的损益情况，主要用来估算VAR (Financial risk analysis on Matlab monte carlo simulation, stock index simulation for geometric Brownian motion, GBM. )

有关DVB—S2的技术特点及应用，及其相关的重要技术，如信道编码，LDPC码和BCH码的编译码算法(Technical characteristics and application of DVB-S2, and the important technology, such as channel coding, LDPC code and BCH code encryption algorithm)

关于分数阶傅里叶变换的源程序及一些应用，对初学者有很大帮助。(Some applications on the source and Fractional Fourier transform of great help for beginners.)

杂波模型为重尾噪声，滤波器为kalman-levy滤波器，此滤波器在噪声不是高斯噪声时效果优于卡尔曼滤波器(Clutter model for heavy-tailed noise filter for the the the kalman-levy filter, this filter is better than the Kalman filter noise is not Gaussian noise)

虫口模型：某模型的分岔图，详细的计算过程，里面还附有结果图( Insect population model: a model bifurcation diagram insect population model: a model of the bifurcation diagram)

解决M/M/1排队论问题，服务时间服从指数分布，队列为泊松流。系统输出为每个个体的到达时间，离开时间，等待时间，逗留时间(M/M/1 queuing theory to solve the problem, the service time is exponentially distributed, the queue is Poisson. System output for each individual arrival time, departure time, waiting time, length of stay)

光谱寻峰的算法，可用于红外光谱或拉曼光谱的自动寻峰处理。(Spectral peak searching algorithm may be used to automatically find peak processing IR or Raman spectroscopy.)