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zhishu
指数平滑法，一种数学建模的实用方法，对你的比赛，和应用很有帮助(Exponential smoothing，A good mathematical modeling tool, It is very helpful to your study MATLAB)
- 2014-09-25 17:02:39下载
- 积分：1
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STC
自校正控制MATALAB源码,包括系统辨识，最小方差控制等内容( Matlab source code of STC)
- 2013-11-07 22:10:40下载
- 积分：1
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heat_equation
heat equation matlab file
- 2014-01-29 00:18:18下载
- 积分：1
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Matlab
精通Matlab综合辅导与指南一书-源程序
包含众多函数(Proficient in Matlab comprehensive counseling and guidance of the book- source code contains a number of functions)
- 2010-08-22 22:19:07下载
- 积分：1
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f_est_music
提供了一种信号频率计算算法的MATLAB实现程序(MATLAB provides a signal frequency calculation algorithm to achieve program)
- 2012-07-31 21:12:05下载
- 积分：1
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si
说明： 系统辨识，对一个传递函数的系数进行辨识，用MATLAB在时域和频域上，进行辨识。(System identification of a transfer function coefficients identification, use of MATLAB in the time domain and frequency domain up for identification.)
- 2009-03-25 20:09:31下载
- 积分：1
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meimei
说明： matlab聚类分析方法，利用c均值方法对IRIS数据进行聚类分析(matlab cluster analysis methods using c mean clustering analysis of IRIS data)
- 2010-04-09 20:28:08下载
- 积分：1
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HHT_success
HHT（希尔伯特黄变换）：Matlab程序_台湾国立中央大学实验室（正版可运行_不同于已有的，该版本经改写整理_直接可以运行）压缩包 (HHT (Hilbert Huang Transform): Matlab program _ Taiwan' s National Central University Laboratory (Genuine runs _ Unlike existing, this version after finishing _ rewriting can be run directly) archive)
- 2013-10-30 19:49:31下载
- 积分：1
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wavelet_synth
Synthetic a time history to a target spectrum
- 2014-01-29 16:39:07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
