-
UntitledAmssbmodulation
am and ssb modulation with matlab codes
- 2012-07-21 16:57:54下载
- 积分:1
-
Biomed
project, which shows the biomed-signal processing. Very simple
- 2011-01-03 02:30:01下载
- 积分:1
-
buildgui
介绍matlab的gui使用,pdf格式(Introduction matlab gui, pdf format)
- 2013-01-04 11:47:28下载
- 积分:1
-
ICA_sour
独立分量分析用于混合信号的分离,使用的算法是快速固定点算法,3路混合信号分别为man.pcm、dragon.pcm和music.pcm(Independent component analysis for mixed-signal separation algorithm used is a fast fixed-point algorithm, 3-way mixed-signal, respectively man.pcm, dragon.pcm and music.pcm)
- 2012-07-21 19:01:42下载
- 积分:1
-
VLSIPROJECTS
VLSi projet....these were recent papers published in ieee
- 2011-01-09 17:57:08下载
- 积分:1
-
ywdeqruq
仿真效率很高的,有详细的注释,相控阵天线的方向图(切比雪夫加权),是路径规划的实用方法,脉冲响应的相关分析算法并检验。( High simulation efficiency, There are detailed notes, Phased array antenna pattern (Chebyshev weights), Is a practical method of path planning, Related impulse response analysis algorithm and inspection.)
- 2016-03-23 00:29:18下载
- 积分:1
-
PCANET
特别好用的图像分类算法!!!输入图像 输出分类结果(A particularly useful algorithm for image classification!!! Input image output classification results)
- 2021-04-09 10:39:00下载
- 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
- 积分:1
-
simsystem
MATLAB HELP FUNDENMENTAL IN YOUR CODE 2 IN FILE
- 2014-11-22 01:52:31下载
- 积分:1
-
1
说明: Recording and playback audio signal display
- 2014-12-21 22:00:18下载
- 积分:1