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white-gaussian-noise
说明: 用于产生高斯白噪声,以及给信号添加一个高斯白噪声的matlab源码,(Used to produce gaussian white noise add gaussian white noise to a signal of matlab source,)
- 2011-03-15 16:28:24下载
- 积分:1
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convolucao
Arquivo para fazer convolucao
- 2011-06-15 00:44:29下载
- 积分:1
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FocusdDstar
迪杰克斯特路径规划算法以及matlab程序实现(D path planning algorithm matlab program)
- 2015-01-17 18:33:02下载
- 积分:1
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surce_randon
Randon data from program
- 2019-05-12 01:42:24下载
- 积分:1
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kiunei_v76
结合PCA的尺度不变特征变换(SIFT)算法,双向PCS控制仿真,使用matlab实现智能预测控制算法。( Combined with PCA scale invariant feature transform (SIFT) algorithm, Two-way PCS control simulation, Use matlab intelligent predictive control algorithm.)
- 2016-05-20 15:45:56下载
- 积分:1
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Upload_Actual_JPEG
dpcm编码,是一种传统的编码方法,就是预测性编码。(dpcm is)
- 2010-08-25 10:02:28下载
- 积分:1
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tushuguanli
数据管理、记录浏览、借还操作(借书、还书、续借、更新、删除、添加)等功能。(Data management, record visit, through further operations (borrowing, but also books, renew, update, delete, add) and other functions.)
- 2009-12-30 15:09:00下载
- 积分:1
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OReilly-Programming-Embedded-Systems-in-C-and-CPP
PDF book of O′Reilly Programming Embedded Systems in C and C++.
- 2015-02-10 05:47:40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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ofdm_awgn
ofdm在瑞利信道的仿真程序还有snr,ber图形(ofdm simulation program in Rayleigh channel also snr, ber graphics)
- 2013-11-14 13:05:59下载
- 积分:1