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14.6-7
说明: 《MATLAB时频分析技术》例题matlab编程实现第十四章14.6-14.7(err)
- 2008-09-23 15:34:40下载
- 积分:1
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ifuvgscv
相控阵天线的方向图(切比雪夫加权),合成孔径雷达(SAR)目标成像仿真,时间序列数据分析中的梅林变换工具,可以实现模式识别领域的数据的分类及回归,使用混沌与分形分析的例程,基于互功率谱的时延估计。(Phased array antenna pattern (Chebyshev weights), Synthetic Aperture Radar (SAR) imaging simulation target, Time series data analysis Mellin transform tool, You can achieve data classification and regression pattern recognition, Use Chaos and fractal analysis routines, Based on the time delay estimation of power spectrum.)
- 2016-03-12 00:11:51下载
- 积分:1
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Matlab
说明: 典型混沌系统logistic1D混沌 图像加密代码(chaotic image encrypt)
- 2020-02-24 17:43:51下载
- 积分:1
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circuit
可以对很多的常见电路图进行仿真,功能很强大············(It is very useful for the simulation of the circuit)
- 2010-09-17 08:51:37下载
- 积分:1
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MPC
MPC的经典教材介绍了离散和连续系统设计的方法以及matlab设计(the book of MPC)
- 2014-09-11 09:12:40下载
- 积分:1
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anova-analysis
方差分析是matlab中十分重要而常见的功能,本课件详细讲述了理论和一些例子的操作,让大家能更好了解。(anova analysis is an important function in matlab。)
- 2011-06-02 11:18:01下载
- 积分:1
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Antenna
说明: 7x7半波阵子天线阵方向图仿真(未归一化)(antenna pattern)
- 2011-03-25 23:54:43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
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FOCMS
control of an induction motor
- 2011-06-17 02:41:06下载
- 积分:1
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PowerFlowLzk
电力系统配电网络计算潮流的程序,可以使用的。(Power flow calculation in electric power system)
- 2012-05-13 23:50:19下载
- 积分:1