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Radar_Systems_Analysis_and_Design
使用matlab进行雷达系统性能的分析与设计,里边有详细的理论分析以及matlab代码,非常有助于做雷达仿真(Radar system analysis and design using matlab,much detail about the theoretical derivation and matlab source code)
- 2013-10-15 23:34:09下载
- 积分:1
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mao_de44
有借鉴意义哦,数据模型归一化,模态振动,最小二乘回归分析算法。( There are reference Oh, Normalized data model, modal vibration, Least-squares regression analysis algorithm.)
- 2017-03-30 22:05:46下载
- 积分:1
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基于NS模型的超车模型Matlab
基于NS模型的超车模型Matlab,用来解决2014美赛建模A题的代码。(Overtaking model based on NS model Matlab.The code used to solve the 2014 Game Modeling A problem.)
- 2020-06-28 13:20:02下载
- 积分:1
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PID-controller-design-of-nonlinear-systems-using-
PID controller design of nonlinear systems using an improved
- 2014-10-31 22:37:39下载
- 积分:1
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G-P算法计算混沌信号关联维的 Matlab 程序 CorrelationDimension GP
这是一个matlab程序, G-P算法计算混沌信号关联维的 Matlab 程序
(This is a matlab program, GP algorithm to calculate the correlation dimension of chaotic signals Matlab program)
- 2014-02-13 00:38:39下载
- 积分:1
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gongetidufa
一种共轭梯度法的matlab函数,可以用于求解病态的线性方程组,提高求解精度.还提供了算法的介绍文档(A conjugate gradient method of matlab function, can be used to solve ill-conditioned linear equations, improve the accuracy of solving)
- 2016-11-27 00:28:58下载
- 积分:1
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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
- 积分:1
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area_intersection_union
这是一个求平面图形覆盖面积的算法,算法简单,很好理解(This is a plane graphics coverage area of the algorithm, the algorithm is simple and well understood)
- 2012-05-10 22:57:38下载
- 积分:1
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OFDM_signal
ofdm signal generation
- 2011-07-26 00:06:03下载
- 积分:1
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dftfc
丢番图方程求解(Diophantine)(Diophantine equation)
- 2011-08-25 10:50:28下载
- 积分:1