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rs_encode
很不错的RS纠错编码原理及其实现方法。pdf格式(rs encode and decode.)
- 2010-06-20 23:09:19下载
- 积分：1
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close
在matlab编程环境下，利用GUI开发，实现电脑自动关机。(matlab programming the computer automatically shut down.)
- 2010-09-02 14:19:42下载
- 积分：1
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bld
说明： 对用refprop调用实际物性对布雷顿循环进行仿真计算(The simulation calculation of Brayton cycle by using RefProp to call actual physical properties)
- 2019-04-28 14:50:52下载
- 积分：1
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1
说明： 常规AM调制：画出调制前波形图和频谱图
求已调信号功率、噪声功率等(Conventional AM modulation: Draw modulation waveform and spectrum before seeking modulated signal power, noise power, etc.)
- 2010-06-25 14:29:37下载
- 积分：1
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Rayleigh_Fading_Simulation
一个用MATLAB写的关于锐利信道仿真的例子，希望对通信开发的同志们有用(a MATLAB write on the sharp channel simulation examples, and I hope to the development of the communications useful comrades)
- 2007-04-25 18:09:31下载
- 积分：1
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APracticalGuidetoECCUsingMATLAB
差错控制编码方向的经典书籍的matlab教程,差错编码方向的可以看看，很有用(Error control coding direction of the classic books matlab tutorial, error encoding direction can see, very useful)
- 2013-08-20 19:29:23下载
- 积分：1
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PRRR
文件包含了基于监督局部线性嵌入的玉米田间杂草识别案例分析(File contains the corn field weed recognition based on supervision of locally linear embedding case analysis)
- 2014-11-02 13:29:09下载
- 积分：1
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FUZZY_NETWORK
Simple Matlab Code for Neural Network Hebb Learning Rule.
It is good for NN beginners students. It can be applied for simple tasks e.g. Logic and , or , not and simple images classification.
- 2015-02-14 21:56:58下载
- 积分：1
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Lyapunv_MRAC
基于李雅普诺夫稳定性的模型参考自适应控制源程序。(Lyapunov stability of the model reference adaptive control based on the source code.)
- 2015-04-17 16:27:44下载
- 积分：1
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EM算法(讲解+程序)
EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)
- 2020-07-04 06:00:01下载
- 积分：1
