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jinzhend
独立成分分析( I C A) 是一项把混合信号分解成具有统计独立性成分的新技术 。I C A近年已在生物医
域的信号分离中展示 了很好的应用前景 。 我们比较系统地介绍了 I C A的基本原理 、 主要算法 、 应用和
究的发展方向,旨在进一步推动有关的理论与应用研究工作。 (Independent Component Analysis (ICA) is a decomposition of the mixed-signal components into a statistical independence of the new technologies. In recent years, ICA has been in bio-medical domain signal separation show a very good application prospects. We systematically introduced the basic principle of ICA, the main algorithms, applications and the development direction of research aimed at further promoting the application of the theory and research.)
- 2009-04-11 22:17:46下载
- 积分:1
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Interpolation
包括Newton插值、Lagrange插值、样条插值等等。。。(Including the Newton interpolation, Lagrange interpolation, spline interpolation and so on. . .)
- 2009-12-16 22:14:24下载
- 积分:1
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ocr
This is a optical character recogniser made in matlab. it is simple and it works great
- 2011-06-13 23:38:32下载
- 积分:1
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Cbuchangfuzzyo
基于补偿的模糊神经网络,此程序序开发于matlab-matlab
(Compensation-based fuzzy neural network, this program logic developed in Matlab-Matlab)
- 2012-05-21 23:39:34下载
- 积分:1
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NGA
小生境遗传算法,该算法易于找出优化问题的所有局部最优解和全局最优解(Niche Genetic Algorithm. The algorithm is easy to find the optimization problem in all local optimal solution and the global optimal solution)
- 2014-11-17 21:46:00下载
- 积分:1
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Chilipepper_Labs
am fine and i feel to in joy that
- 2013-11-11 11:11:37下载
- 积分:1
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QPSK
QPSK Modulation (informatif signal, conversion, Mapping, filter, demodulation)
- 2013-05-13 22:16:17下载
- 积分:1
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Release
LTE Simulation made by xxxxxxxxxxx
- 2013-12-05 11:05:32下载
- 积分:1
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Main
神经网络训练程序、测试程序以及验证程序整体(Neural network training procedures, test procedures, and the overall validation process)
- 2013-12-06 15:13:32下载
- 积分:1
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upf_demos
粒子滤波改进算法仿真比较,我觉得很好用,大家快下载,贝叶斯滤波适合非线性和非高斯环境,这种非线性统计理论很先进(Improved particle filtering algorithm for simulation and comparison, I feel useful, we quickly download, Bayesian filtering for nonlinear and non-Gaussian environment, which is very advanced statistical theory of nonlinear)
- 2010-12-21 14:28:58下载
- 积分:1