-
Channel_Estimation_Module
信道估计仿真，采用了多种方法：线性插值，MMSE，1惟MMSE,2维MMSE等(Channel Estimation
1 for non-block-wise linear interpolation,
2 for block-wise 1-D MMSE,
3 for non-block-wise 1-D MMSE,
4 for block-wise 2-D MMSE,
5 for non-block-wise 2-D MMSE,
6 for ideal channel estimator,
7 for random pilots map case using 2-D MMSE.)
- 2010-09-01 21:42:38下载
- 积分：1
-
chap3_06_Narendra_MRAC_n1
Narendra自适应控制算法的相应程序(Narendra adaptive control algorithm corresponding procedures)
- 2009-10-30 15:04:51下载
- 积分：1
-
PilotAssistedWirelessTransmissions
无线衰落信道下MIMO_OFDM系统的信道估计算法研究，较新的文章(wireless fading channel MIMO_OFDM the channel estimation algorithm research, the newer article)
- 2007-01-21 09:53:05下载
- 积分：1
-
direction-vario
semivariogram structure function ,it is about 2D semivariogram.
- 2012-05-07 22:05:40下载
- 积分：1
-
(Ebook)Acoustic-Echo-Cancellation-using-Adaptive-
Acoustic Echo Cancellation using Adaptive LMS
- 2013-12-05 13:20:13下载
- 积分：1
-
AR_whiteNosInput
MATLAB程序编写产生特定功率、有限带宽白噪声，可以做为激励用于振动系统的输入。(MATLAB programming to produce the white noise of a particular power, limited bandwidth, can be used as incentives for vibration system input.)
- 2012-11-28 20:53:21下载
- 积分：1
-
shilianglianghua
本文从矢量量化的角度对图像进行处理，程序经过验证，正确(From the perspective of vector quantization image processing, the program verified the correct)
- 2010-08-16 14:53:07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
-
source_sin
采用simulink C model编写的正弦信号发生器。对初学simulink的同学可能会有帮助！(Written using simulink C model sinusoidal signal generator. Simulink for beginner students may be helpful!)
- 2011-10-31 22:15:54下载
- 积分：1
-
sin-signal-phase-noise
该资料是一个matlab仿真程序。实现对噪声中正弦信号相位的估计。利用matlab仿真得到的PDF估计 对不同的信噪比（SNR）情况进行Monte Carlo仿真(This information is a matlab simulation program. Realize sine signal phase noise estimation. Obtained by simulation using matlab PDF estimates different signal to noise ratio (SNR) conducted Monte Carlo simulation.)
- 2013-11-23 19:22:51下载
- 积分：1
