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CBEA_B1
基于云模型雾化算法的实现。该程序实现了雾化算法在全局范围内的最优搜索（二维，十维，三十维）。(Aerosol cloud model based algorithm. The process of atomization Algorithm for the Global Optimum Search in the context of (two-dimensional, 10 dimensional, 30 dimensional).)
- 2010-07-30 12:04:44下载
- 积分：1
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SINGLECARRIER
用MATLAB对单载波频域均衡进行仿真，并绘制出误码率仿真的结果。(Using MATLAB on a single carrier frequency domain equalization simulation, and to map out the bit error rate simulation results.)
- 2008-04-04 10:52:47下载
- 积分：1
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DECOMPOSITION-OF-ECG-TO-ITS-COEFFICIENTS
DECOMPOSITION OF ECG SIGNAL TO ITS COEFFICIENTS
- 2013-12-28 01:15:36下载
- 积分：1
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RoadSVM
道路检测中的SVM方法，供研习者学习与参考。(Road detection SVM method for learning to learn and reference.)
- 2014-05-12 16:28:06下载
- 积分：1
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maximally stable extremal regions mser
maximally stable extremal regions matlab code . Image is provided. extract the image and put image location in address
- 2016-12-07 17:47:22下载
- 积分：1
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MATLABsolvetheelectroncloud
该程序运用matlab可实现电子云密度分布的可视化，(matlab solve electron cloud)
- 2010-12-10 09:23:49下载
- 积分：1
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LPFG
LPFG长周期光纤光栅的模拟仿真，值得参考下载啊(the analog simulation of LPFG is worthy of reference.)
- 2012-11-22 08:53:13下载
- 积分：1
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Fault-diagnosis-of-wind-power
风力发电的故障诊断研究，基于MHE（滚动时域估计）的故障诊断方法(Fault diagnosis of wind power, based MHE (rolling horizon estimation) of the fault diagnosis method)
- 2014-10-11 16:31:18下载
- 积分：1
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AO_Protocol
关于短路计算的一些源程序同时是有关matlab优化的源程序(Short-circuit calculations on some of the matlab source code is also optimized source)
- 2011-11-28 10:52:43下载
- 积分：1
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shibie
基于奇异值分解的人脸识别方法
梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅
提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性.
(Face recognition based on singular value decomposition method
Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan
Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La)
- 2010-05-17 14:29:31下载
- 积分：1
