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paowuxianfa
抛物线法（二次插值法）。根据最优化方法（天津大学出版社）算法编写。
(Parabolic method (quadratic interpolation method). According to the optimization method (Tianjin University Press) algorithm written.
)
- 2011-12-17 19:58:52下载
- 积分：1
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多重信号分类music
说明： 谱估计的非参数DOA(Dorection of Arrive)方法----MUSIC(Multi Signal Classification，多重信号分类)算法(spectrum estimation of parameters DOA (Dorection of Arrive) method-M USIC (Multi Signal Classification, multiple signal classification) algorithm)
- 2005-12-28 15:42:53下载
- 积分：1
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classifier
说明： 两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。(Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window method estimates non-parametric classification procedures, Fisher Linear Discriminant classifier program.)
- 2010-04-06 16:43:00下载
- 积分：1
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m-files
用MATLAB实现基于主导极点的PID控制器参数整定(Based on MATLAB setting the PID controller parameters with dominant pole
)
- 2012-04-10 09:53:47下载
- 积分：1
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liangdu
注意：本程序中，每点击一次“增加亮度”，图像灰度提升16；每点击一次“降低亮度”，图像灰度降低16。(Note : This procedure, every click an "increase in brightness," gray upgrade 16; Click on each of a "lower brightness," gray lower 16.)
- 2007-04-12 00:17:14下载
- 积分：1
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N-one
particle filter粒子滤波简易程序(particle filter)
- 2014-11-07 20:30:34下载
- 积分：1
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txt2mat
Programme de conversion de fichier texte en Matrice en matlab
- 2013-05-01 20:18:04下载
- 积分：1
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spectralsubtraction
Spectral subtraction based speech enhancement
- 2010-09-26 02:26:34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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matlab--tunnel-lighting
就是根据隧道照明的影响因素，编写的控制策略(Is based on the impact of tunnel lighting factors, the preparation of the control strategy)
- 2011-05-28 16:15:16下载
- 积分：1
