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cooperative_network2
Analyze a performance of cooperative networks over Rayleigh fading channels for different transmissions protocols.
- 2009-04-03 02:53:15下载
- 积分：1
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c12_example1
使用Saleh模型，产生AM-AM和AM-PM特性的产生过程(Saleh model used to produce AM-AM and AM-PM characteristic of the production process)
- 2013-09-07 09:24:41下载
- 积分：1
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Arma
Use of Arma in filter kalman for estimating a curve prosess
- 2013-12-06 08:01:45下载
- 积分：1
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IP-simulink
倒立摆的仿真, 使用matlab7.1去写mdl file and m-file(Inverted pendulum simulation, the use of matlab7.1 to write mdl file and m-file)
- 2009-01-21 12:10:13下载
- 积分：1
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zishiying
自己编的程序，自适应噪声对消语音增强，参考噪声与输入噪声是相关的情况。(Own procedures, Adaptive Noise Cancellation of Speech Enhancement, reference noise and input noise are relevant.)
- 2009-03-17 16:01:35下载
- 积分：1
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Shuangseqiu
一个模拟双色球红色篮球的抽奖程序，以及部分matlab复杂网络模拟程序(An simulation program about the welfare lottery )
- 2011-01-22 22:07:40下载
- 积分：1
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ShapeContext
说明： 目标匹配经典特征shape context的Matlab源码！(The source code of the shape context!)
- 2010-04-15 16:26:10下载
- 积分：1
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channel
主动声纳浅海信道仿真函数。在已知浅海声速梯度，声源深度，接收器深度的情况下进行仿真。(Active sonar shallow water channel simulation function. Simulation in the case of shallow water velocity gradient is known, the depth of the sound source, the receiver depth.)
- 2013-02-01 22:25:58下载
- 积分：1
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Stationary_Series1_AR1
演示AR序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(Eigenvalues demo AR sequence autocovariance function and spectral density. The program is open, you can modify the parameters)
- 2013-12-22 18:04:12下载
- 积分：1
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EM算法(讲解+程序)
说明： 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
