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plotellipse
plot an ellipse using matlab
- 2009-03-09 14:26:28下载
- 积分：1
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Park_tran
坐标的3/2变化模块以及PARK CLARK 反变换(PARK/CLARK)
- 2010-11-26 13:45:23下载
- 积分：1
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matlab_signal
分析该方波的傅里叶级数展开表达式，确定采样频率，生成需要处理的方波信号(matlab dealing with signal)
- 2014-10-19 22:08:52下载
- 积分：1
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ondelette
Signal processing front end for extracting the feature
set is an important stage in any speech recognition
system. The optimum feature set is still not yet
decided. There are many types of features, which are
derived differently and have good impact on the
recognition rate. This paper presents one more
successful technique to extract the feature set a
speech signal, which can be used in speech recognition
systems. Our technique based on the human auditory
system characteristics and relies on the gammachirp
filterbank to emulate asymmetric frequency response
and level dependent frequency response.
- 2014-12-25 18:20:27下载
- 积分：1
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swnet
复杂网络小世界模型，模拟小世界模型
复杂网络小世界模型，模拟小世界模型(he parameter of the small-world model
The total number of the network
The mean degree is 2*m
The remove probability
The connection matrix
The initial regular network)
- 2013-12-24 17:11:52下载
- 积分：1
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7
说明： 一些基本的Matlab动画程序，可以使初学者了解动画程序的应用。(Some basic Matlab animation program that allows beginners to understand the application of animation process.)
- 2009-01-01 13:08:59下载
- 积分：1
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DTC_ui1
直接转矩控制方面的例子，希望能给大家提供帮助(Examples of direct torque control, hope that they can help)
- 2010-07-27 14:20:54下载
- 积分：1
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convolution
信息科学与通信工程中卷积码的MATLAB程序的编写(Information Science and Communication Engineering in the convolutional code written MATLAB program)
- 2010-12-10 19:07:43下载
- 积分：1
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PSO
粒子群算法,自己编的一个程序，可以实现，运行main函数(Particle Swarm Optimization)
- 2014-09-22 09:57:42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
