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fastica
采用fastica算法的盲源分离，对于线性混合的信号，分离效果很好(By fastica blind source separation algorithm)
- 2020-10-04 19:57:39下载
- 积分：1
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IR_UWB
高斯脉冲的微分的MATLAB仿真程序，对超宽带脉冲宽度的改变和脉冲微分(Derivative of Gaussian pulse MATLAB simulation program, to change the UWB pulse width and pulse differential)
- 2010-11-30 14:15:05下载
- 积分：1
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the_seperation_of_blind_signal_
盲信号分离技术讲座，入门基础知识介绍，有几个应用例子来说明盲分离(the_seperation_of_blind_signal)
- 2010-12-24 17:26:45下载
- 积分：1
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fern
Experiments with MATLAB源代码：fern仿真(Experiments with MATLAB source code: fern Simulation)
- 2011-04-25 11:06:56下载
- 积分：1
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20130820matlab
matlab代码matlab北航出版社控制代码系统辨识与自适应控制MATLAB仿真(matlab adaptive control)
- 2015-03-28 21:15:43下载
- 积分：1
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Chapter-8--numerical-integration
第7章 数值微分.zip。是从书中光盘里拷贝的代码，放在这里与大家共享，希望对大家有帮助。(Chapter 7, numerical differentiation)
- 2012-03-27 10:50:46下载
- 积分：1
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PRoNTo_v.1.1_r740_bugfix
PRoNTo (Pattern Recognition for Neuroimaging Toolbox)，一款MVPA（多体素模式分析）matlab toolbox，用于fMRI数据分类或逼近，非常实用。(a software toolbox based on pattern recognition techniques for the analysis of neuroimaging data.)
- 2015-04-13 15:03:46下载
- 积分：1
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vmd-test
vmd源程序的修改版，看起来没那么费尽，更容易懂。(vmd source of the modified version, does not look so racked and easier to understand.)
- 2016-09-08 17:35:16下载
- 积分：1
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Matlab
说明： 最全的通信类Matlab仿真例子集合。。。。。。。。。。。。。。(The most comprehensive set of communication class Matlab simulation example. . . . . . . . . . . . . .)
- 2021-03-09 20:19:27下载
- 积分：1
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Tues-A17_01-Beatty-Gridding
In this session, I will focus on the gridding method for fast image reconstruction from non-
Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of
choice when reconstruction time is an issue. Other reconstruction techniques include rBURS
[6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use
gridding and inverse gridding as their core operation, so even when gridding is not the right
solution for an application, an understanding of gridding can be useful.
I will cover the main steps of the gridding algorithm and then discuss some implementation tips
that can signicantly reduce the computation time. Finally, I will present some illustrations and
viewpoints that I have found to aid in an intuitive understanding of the gridding method, which
can be helpful when designing the density compensation function and judging the appropriateness
of gridding as a solution for a particular application.
- 2012-05-27 18:19:18下载
- 积分：1
