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一元二元函数
最近在看智能算法，是特别初期浅显的算法，适合初学者(Recently looked at intelligent algorithms, is particularly early, easy algorithm, suitable for beginners)
- 2017-10-12 20:47:33下载
- 积分：1
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C-mean
模式识别中用matlab实现c均值的计算，分类实现的算法。(matlab，c-means fuction)
- 2009-05-29 21:17:23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
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chuanghanshu
Matlab 自定义窗函数的幅频分析，包括矩形窗，三角窗，汉宁窗，汉明窗等(Matlab customize the width of the window function frequency analysis, including rectangular windows, triangular windows, Hanning window, Hamming window, etc.)
- 2013-03-19 08:11:39下载
- 积分：1
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gauss
guassian mixture back ground moble matlab code
- 2010-11-03 14:48:56下载
- 积分：1
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Logistic
LOGISTIC混沌映射不同长度的自相关和互相关函数比较。(Compariton of difference length of chaos)
- 2010-11-05 00:01:45下载
- 积分：1
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BME
This code describes the blind channel estimation problem for the estimation of different estimation schmes.
- 2012-02-04 16:57:40下载
- 积分：1
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ssa
奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号，如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. According to the time sequence structure of the observed path matrix, and the trajectory matrix is decomposed and reconstructed, thus extracting the signal representative of the original time series of different components, such as the long term trend signal and periodic signal and noise signal, through analyzing the structure of the time series, and further predict.)
- 2017-07-22 22:25:03下载
- 积分：1
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FullBNT
说明： 一个非常受欢迎的贝叶斯网络matlab工具箱(A very popular Bayesian network toolbox matlab)
- 2010-05-03 17:16:54下载
- 积分：1
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MadHG
利用函数MadHG生成规则LDPC码的校验矩阵H，其行重为6,列重为3,行数为列数一半(行数越大越好)，H中任意两列没有围长为4的圈，并得到H对应的生成矩阵G，可以保证mod(G*H ,2)=0。使用方法为:[H,G] = MadHG(m,n,x),x= 1(得到的G左半部分为单位阵) or 2(G右半部分为单位阵),(use function MadHG Generation rules LDPC check matrix H, re-6, series of three, out for a few half of the number (A bigger the better), H 2 arbitrary no girth of the four circles, H counterparts and with the formation of matrix G, we can be assured of mod (G* H, 2) = 0. To be used : [H, G] = MadHG (m, n, x), x = 1 (the G part of the Left Front units) or 2 (G right half of the units RUF),)
- 2007-05-12 10:54:46下载
- 积分：1
