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modulation_demodulation_simulation
关于调制解调的matlab代码和simulink的实例(On the modem code and simulink of matlab examples)
- 2009-09-10 06:58:28下载
- 积分：1
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Arithmetic1212
这是运用MATLAB进行编程的一些应用,可供大家学习一下(This the use of MATLAB programming some applications are available for learning about )
- 2007-06-24 20:10:23下载
- 积分：1
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Changjiang
带有级比调整的灰色预测代码 在灰色预测之前做级比检验，降低相对误差(GREY MODEL)
- 2015-02-02 08:29:22下载
- 积分：1
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Matlabsimulation
通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检
测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)
- 2010-12-05 09:51:59下载
- 积分：1
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pengenalan-matlab-
Pengenalan matlab dari dasar
- 2012-04-17 02:42:10下载
- 积分：1
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RayleighFiles
Rayleigh 信道的matlab 仿真程序
及论文"A Fast and Accurate Rayleigh Fading Simulator"(Rayleigh Road, Matlab simulation program and dissertation, "A Fast and Acc urate Rayleigh Fading Simulator ")
- 2007-05-10 01:49:18下载
- 积分：1
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Matlab(ODEPPDE)
这是关于微分方程求解的资料，我自己看了好几遍，很经典，并且也很全面，并附有例子(This is a differential equation solver, I have read it several times, very classic, and also very comprehensive, with examples)
- 2012-08-26 10:16:04下载
- 积分：1
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fers-radar-simulator-thesis.pdf.tar
Open source radar simulation software
- 2015-02-02 01:43:16下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
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mlclass-ex6
Support Vector Machines solution
- 2013-12-25 08:37:11下载
- 积分：1
