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doa_music
基于空间平滑处理的稳健宽带高分辨方位估计算法(The stability of space-based smoothing algorithm for broadband DOA estimation)
- 2011-06-01 19:32:53下载
- 积分：1
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QPSK_Transmitter
Perform QPSK Modulation and transmit it through carrier signal
- 2015-01-25 21:37:59下载
- 积分：1
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Hamming-code-tabel
It generates the hamming code table
- 2014-01-27 12:17:54下载
- 积分：1
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p213
卡尔曼滤波器估计机器人运动轨迹，使用激光和超声波进行观察。画出估计轨迹图和实际轨迹图。(Kalman filter estimated the robot trajectory, the use of laser and ultrasonic observation. Draw the estimated trajectories and actual trajectories.)
- 2012-06-08 16:58:24下载
- 积分：1
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sortmatrix
将矩阵内的数据排序，并输出相应原位置坐标
(The matrix of data sorting, and output the corresponding original position coordinates)
- 2012-07-12 20:45:04下载
- 积分：1
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daima
（压缩包里一共有5个代码）
pca+lda+粗糙集+模糊神经网络
saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat
1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat
2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat
4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat
5.用runfnn.m对rstest进行测试得到其识别率
savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network
saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat
Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat
2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat
3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat
4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat
5. Rstest used to test for runfnn.m by its recognition rate
cm.m is savem.m and minimum distance classifier on the training set and test set classificati)
- 2009-06-07 11:50:01下载
- 积分：1
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RSM_simulation
Control Sensor pour PMSM Boucle Complete
- 2012-04-04 01:59:11下载
- 积分：1
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simulation
在一个移动通信系统中，发射信号是一个未调制的音频x(t)=cos(2πft)，其中f=f0+fi。设标称载波为f0=1GHz，并设fi =512Hz。假定移动用户在一个繁忙的高速公路上距离基站l公里处的地方，从开始从每小时60公里的速度开始，其速度（在0.01秒的时间间隔内测量）以1/2的概率随机的增加或减少1/10公里每小时。试仿真移动用户在这2s的时间间隔内所接收到的信号(及其频谱)。接收信号可以表示为：
y(t)=a(t)Cos[2π(fo+f1)(t-△t)]
式中 △(t)=d(t)/c
且 a(t)=k/d2(t)
在上面的表达式中d(t)是在t时刻基站与移动用户的距离，c是光速，△(t)是传播延迟，而a(t)是信号在t时刻的衰减，并假设在这2s内a(t)是一个常数。利用复低通等效模型来进行仿真。(In a mobile communication system, the transmitted signal is an unmodulated audio x (t) = cos (2πft), where f = f0+ fi. Let nominal carrier of f0 = 1GHz, and set fi = 512Hz. Assume that mobile users on a busy motorway station l kilometers place, starting the beginning of 60 kilometers per hour, the speed (measured in 0.01 second interval) to increase the probability of a random 1/2 or reducing 1/10 km/h. Simulation test signal which the mobile subscriber in the 2s time intervals of the received (and its spectrum). The received signal can be expressed as:
y (t) = a (t) Cos [2π (fo+ f1) (t- △ t)]
Where △ (t) = d (t)/c
And a (t) = k/d2 (t)
In the above expression, d (t) at time t is a base station and a mobile user s distance, c is the speed of light, △ (t) is the propagation delay, and a (t) is the attenuation of the signal at time t, and assuming that 2s within a (t) is a constant. Using complex low-pass equivalent model for emulation.)
- 2015-11-24 17:16:20下载
- 积分：1
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ramu123
its about ofdm channel estimation
- 2009-09-09 03:32:59下载
- 积分：1
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MATLAB-language-commonly-used-
MATLAB语言常用算法程序集,非常适合初学者！(MATLAB language commonly used algorithm for assembly, very suitable for beginners!)
- 2015-01-08 12:05:17下载
- 积分：1
