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Array-signal-processing-
阵列信号处理算法MATLAB常用程序，包括常用的AR,MUSIC,ESPRIT,GMUSIC程序及性能比较分析，很详细(MATLAB array signal processing algorithms commonly used procedures, including the popular AR, MUSIC, ESPRIT, GMUSIC procedures and performance comparison analysis, very detailed)
- 2011-08-16 17:54:13下载
- 积分：1
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3-3-Kalman
完整的卡拉曼滤波matlab代码,包括卡拉曼滤波平滑(The complete Karaman filter code including filtering and smoothing)
- 2013-05-10 15:00:35下载
- 积分：1
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qdis
席位分配的matlab例程，可以勾选多种算法以方便练习使用(The distribution of seats in matlab routines, you can check a variety of algorithms to facilitate the use of practice)
- 2008-01-01 12:41:21下载
- 积分：1
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spchtool
采用matlab进行语音处理的软件包，如分帧，求语音特征等。(Using matlab package deal for voice, such as sub-frames, and voice characteristics.)
- 2008-03-02 15:03:46下载
- 积分：1
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corr
相关系数法计算两个向量的相关系数 MATLAB代码(Correlation coefficient method to calculate the correlation coefficient of two vectors MATLAB code)
- 2011-08-30 17:04:42下载
- 积分：1
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Alamouti_2x1_ant_selection
关于OSTBC的天线选择，采用天线选择的Alamouti STBC方案，比较BER性能，由仿真图能得出天线选择方法能够提供比预编码更多的增益。(About OSTBC antenna selection, antenna selection scheme using Alamouti STBC, compare the BER performance, can be reached by a simulation diagram antenna selection method can provide more than pre-coding gain.)
- 2016-03-11 16:05:09下载
- 积分：1
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simulation
Simulink仿真基础《过程控制工程及仿真－(simulink simulation)
- 2009-05-16 17:06:50下载
- 积分：1
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lpcseg1
车牌识别程序，MATLAB，源代码，M文件(MATLAB)
- 2010-01-10 15:23:27下载
- 积分：1
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GAPSO
说明： GAPSO算法是一种先进的遗传粒子群算法，广泛应用于电力系统的低频振荡的控制研究。中。(无)
- 2009-07-23 11:54:17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
