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FFT

于 2014-02-06 发布 文件大小:74KB
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  对傅里叶变换的理解和matlab程序实现(Fourier transform matlab program to achieve understanding and)

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  • untitled
    这是用simlink搭建的一个滤波器的框图,希望能给大家带来帮助(this is a map of filter , i think it is useful for you to )
    2010-12-14 19:49:00下载
    积分:1
  • gezhen
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    2012-06-10 08:29:36下载
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    说明:  Expectation-Maximization algorithm
    2011-11-09 17:20:50下载
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    粒子滤波的MATLAB程序,比较基础。一个目标检测。(Particle filter MATLAB procedures, basis of comparison. A target detection.)
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    积分:1
  • shenjingwangluo
    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 )
    2011-05-21 16:47:44下载
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  • Kalman-papper
    卡尔曼1960年原版论文!卡尔曼滤波由此诞生!非常清晰哦!(Kalman 1960 original papers! Kalman filter was born! Very clear Oh!)
    2012-06-29 12:44:53下载
    积分:1
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    电力系统潮流计算 运用MATLAB软件来实现这一功能(Power Flow using MATLAB software to achieve this functionality)
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    2011-04-01 16:35:58下载
    积分:1
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