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ShuZhiFenXi4
单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)
- 2010-01-15 20:38:07下载
- 积分：1
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A_Non-Local
数字图像处理用非局部均值方法，其中仔细介绍了非局部均值的原理，用法(A Non Local Algorithm for Image Denoising)
- 2012-05-16 17:50:43下载
- 积分：1
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Structure-Analysis-of-Patches
通过块结构分析的基于样例学习的超分辨率重建(Example-Based Super-Resolution via Structure Analysis of Patches)
- 2013-04-08 15:24:57下载
- 积分：1
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twoWARLMSandNLMS
LMS算法程序 代码等等 变步长LMS算法程序 代码等等 变步长(lms suanfa bianbuchang)
- 2014-01-12 18:11:40下载
- 积分：1
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通过分形算法生成，胶粘剂的概率可以…
通过DLA算法计算产生分形，可通过控制黏贴概率来控制分形维度-Generated through the DLA fractal algorithm, the probability of adhesive can be controlled to control the fractal dimension
- 2023-02-02 12:10:02下载
- 积分：1
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signal
说明： 通过matlab产生各种信号，包括四种信号，有正弦，指数，虚指数，复指数信号，内容丰富，是和信号分析同学使用(signal about sin，etc)
- 2011-03-25 18:11:45下载
- 积分：1
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qmage
matlab实例编程系列2,内有运行后界面图像＆源代码,很好的(Examples of matlab programming series 2, inside after the operation interface image & source code, very good)
- 2017-05-18 10:09:55下载
- 积分：1
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CshixianMATLAB6.5zhongmwenjiandfangfa
介绍了matlab中的M文件用C语言来实现的方法(Matlab introduction of M documents in the C language to realize the method)
- 2007-09-17 22:34:10下载
- 积分：1
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MATLAB1.0
你见过 MATLAB 最早的版本吗？下载一份 MATLAB 1.0,(只有182K, 只有20来个函数) 体会一下吧。MATLAB早期表示矩阵是用 <> 而不是 []。 (Have you seen the first version of MATLAB you? Download a MATLAB 1.0, (only 182K, only 20 to a function) experience yourself. MATLAB is a matrix of early that < > instead of [].)
- 2020-07-03 22:40:02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
