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polylsqr

于 2014-09-21 发布文件大小:1KB

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this is a matlab program.

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matlab
M=4的双正交信号数字通信系统仿真实例，包括主程序和子程序全部内容，可以直接运行。(M = 4 of the pairs of orthogonal signal digital communication system simulation examples, including the main program and subroutines all, you can run directly.)

2009-11-25 18:29:48下载

积分：1
TGMMatlab
时变参数的TGM（1，1）模型MATLAB的实现(Time-varying parameters of the TGM (1,1) model for the realization of MATLAB)

2009-07-05 15:13:17下载

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CSU-MATLAB-REPORT
中南大学信息院matlab实验报告差分方程的脉冲响应，滤波器设计(failed to translate)

2011-10-23 21:10:56下载

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Aniso_ppref_coeff
常规地震假设地下介质是各项同性的，但实际上，是各向异性的。各向异性介质的反射系数随入射角、方位角不同而不同。(Reflection coefficient varies with incident angle and azimuthal angle.)

2020-12-01 18:39:25下载

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new-matlab
最新国外有关matlab的资料，是国内没有的，希望对大家的学习matlab有帮助。(Matlab latest information about the foreign, is not, we want to learn matlab help.)

2011-09-18 21:48:49下载

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SEP
This Matlab source code is for paper Stable Election Protocol for wireless sensor networks.

2014-10-01 21:34:11下载

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12889
Microstrip Patch Antenna for bandwidth enhancement

2015-03-26 01:50:54下载

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Matlab1
实验一、正整数分解问题,实验二、四人追击问题, 实验三、个人所得税的计算 , 实验四、水塔水流量的估计(Experiment 1, positive integer factorization problem, the second experiment, four chasing the problem, experiment 3, individual income tax calculation, experiment 4, the estimated water flow cooling tower)

2010-09-21 09:35:48下载

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Satellite.Handbook
Tsis is a satelit handbook and I hope that can help someone.

2009-04-12 02:11:39下载

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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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polylsqr

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