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VCmatlabmfile
VC调用matlab中定义的.m文件中的函数的实例(vc use matlab m-file )
- 2010-07-24 13:15:34下载
- 积分:1
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silniksam50kw
Induction machine power 50 kw in matlab simulink work on
- 2013-03-21 03:23:55下载
- 积分:1
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serialDataStream11
Matlab接收串口的数据,并作出相应的处理(Matlab receive serial data and processing it )
- 2014-11-11 22:02:54下载
- 积分:1
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esprit
旋转不变子空间类算法是空间谱估计中的典型算法,它也是特征分解类算法(Rotation-invariant subspace type algorithm is the space of a typical spectral estimation algorithm, it is also eigen-decomposition algorithm)
- 2007-10-15 15:51:48下载
- 积分:1
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Border
静电场边值问题的解法浅析,用分离变量法解决静电场边界问题的基本思路(Electrostatic Boundary Value Analysis)
- 2011-06-12 15:31:51下载
- 积分:1
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statistical-signal-processing
统计信号处理:非高斯信号处理及其应用,对非高斯信号的处理及应用作出了详细的讨论。(Statistical Signal Processing: non-Gaussian signal processing and its applications, processing and application of non-Gaussian signal given a detailed discussion.)
- 2014-09-23 21:14:23下载
- 积分:1
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VeloParis100416_1_Distribution_1.1
基于ios3.2开发的显示武汉市免费自行车站点的小程序
很不错的学习iphone开发的代码(Developed based on ios3.2 free bike show in Wuhan is a good site to learn applet code iphone development)
- 2010-07-16 23:53:50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
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File_3
matlab radar code for periodic ambiguity
- 2013-01-27 15:19:15下载
- 积分:1
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MWC-subnyquist
MWC sub nyquist sampling Compressive sensing
- 2013-10-18 00:17:27下载
- 积分:1