Caponbeamforming

用最小二乘法对未知二阶系统进行辨识，最小二乘部分采用matlab的s-function功能。整个程序为simulink仿真(The least square method to identify the unknown second-order system, least squares part of the s-function using matlab function. Simulink simulation of the entire procedure)

basic statistics of time series

卡尔曼滤波器预测，以及一周卡尔曼滤波器预测(Kalman filter forecast, and a week Kalman filter forecast)

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 )

瑞利衰落信道（Rayleigh fading channel）是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后，其信号幅度是随机的，即“衰落”，并且其包络服从瑞利分布。(Rayleigh fading channel, Rayleigh fading channel) is a statistical model of radio signal propagation environment. This model assumes that the signal through a wireless channel, its signal amplitude is random, or "decline", and its envelope obey Rayleigh distribution. )

岩石物理模型建模的另一种方法，同样可以翻译弹性参数与物性参数间的关系。(Another method of rock physics modeling, the same can translation parameters and physical parameters of elastic)

频域分解法的MATLAB程序，自己编写，针对环境激励等信号输入有较好的识别效果，特别是针对密频结构(Frequency Domain Decomposition Method MATLAB program, we have written, better recognition effect environmental incentives for signal input, especially for structures with closely spaced)

数字信号处理及其matlab实现，，希望对大家有帮助，谢谢，()

基于fisher准则的线性分类器，每类7个样本(Criteria based on fisher linear classifier, each class of seven samples)

802.11a, 802.11b与802.11g的throughput计算程序，只需按照程序提示即可算出不同协议下throughput的理论值。(A computing program for the throughput of 802.11a, 802.11b as well as 802.11g. You can get the throughput by typing in parameters as the guidance on the screen.)