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matlab1
介绍了MATLAB的图视化功能,工具箱函数汇总,MATLAB 程序设计与应用等(Introduction of the MATLAB visualization of map features, the toolbox function summary, MATLAB Program Design and applications)
- 2008-02-22 15:06:34下载
- 积分:1
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trans_innerfault
基于Matlab/Simulink建立的变压器内部仿真模型,可以进行变压器内部整个绕组的单相接地、两相短路、两相接地短路、三相短路等故障的仿真。(The internal simulation model of transformer based on Matlab/Simulink can carry out the simulation of single phase grounding, two phase short circuit, two-phase short circuit and three-phase short circuit of the whole winding.
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- 2016-05-02 16:27:25下载
- 积分:1
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RoutingAdHoc
Telecommunication Lecture - .
- 2010-01-02 19:46:55下载
- 积分:1
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matlabGUI
matlab 用户界面设计与应用,适用于初学者,简单易学(MATLAB GUI)
- 2011-05-12 12:11:09下载
- 积分:1
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Project_2
Matlab _ MIMO + QPSK + ML/MMSE/ZF
在Matlab的平台上,应用QPSK调制,以及3种不同的探测方法,实现并模拟了2x2的MIMO功能.(Matlab _ MIMO+ QPSK+ ML/MMSE/ZF on the Matlab platform, application QPSK modulation, as well as three different detection methods, and to achieve the simulated 2x2 MIMO function.)
- 2015-03-26 19:40:47下载
- 积分:1
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dlda30
matlab code for machine learn duda
- 2014-09-25 19:27:29下载
- 积分:1
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OFDM-with-PAPR-reduction
OFDM with PEAK TO AVERAGE POWER RATIO
- 2014-11-19 21:26:22下载
- 积分:1
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viterbi
说明: 该MATLAB程序评估了viterbi算法在衰落信道下的卷积译码的性能,包含卷积编解码,衰落信道,维特比算法等.m程序(The MATLAB program to assess the viterbi algorithm in fading channels the performance of convolutional decoding, including the convolution coding and decoding, fading channels, Viterbi algorithm. M procedures)
- 2008-10-22 09:01:19下载
- 积分:1
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soft_radio_1719
matlab programming soft radio
- 2012-04-17 01:09:54下载
- 积分:1
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fecgm
独立成份分析(ICA)以及winner滤波 Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S + N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...( Source separation of complex signals with JADE.
Jade performs `Source Separation in the following sense:
X is an n x T data matrix assumed modelled as X = A S+ N where
o A is an unknown n x m matrix with full rank.
o S is a m x T data matrix (source signals) with the properties
a) for each t, the components of S(:,t) are statistically
independent
b) for each p, the S(p,:) is the realization of a zero-mean
`source signal .
c) At most one of these processes has a vanishing 4th-order
cumulant.
o N is a n x T matrix. It is a realization of a spatially white
Gaussian noise, i.e. Cov(X) = sigma*eye(n) with unknown variance
sigma. This is probably better than no modeling at all...)
- 2010-05-27 23:08:51下载
- 积分:1