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boundary
0:边界延拓镜像法 1:边界延自适应波形匹配法(boundary conditions)
- 2021-04-08 16:29:00下载
- 积分：1
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quad_pulse_shift_keying
This is the q p s keying signallling.
just use wid the given pulse to modulate the pulse.
- 2010-10-25 13:48:10下载
- 积分：1
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sixdofvm
it s flight vizualisation matlab
- 2010-10-31 15:25:01下载
- 积分：1
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Wind_farm_capacitor
说明： IEEE33节点的并网风力发电可直接运行(The grid connected wind power generation of ieee33 node can operate directly)
- 2020-10-23 09:47:22下载
- 积分：1
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Matlab_related_book
Matlab 电子书，有关于小波分析的，有关于图像处理的，还有信号处理和辅助优化设计的(Matlab e-books, on the wavelet analysis, on image processing, as well as signal processing and optimization of the design of auxiliary)
- 2009-01-16 13:56:29下载
- 积分：1
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elfsk
MATLAB仿真，随机信号的FSK调制和解调过程。(MATLAB simulation, random signal of FSK modulation and demodulation process.)
- 2010-09-15 12:53:24下载
- 积分：1
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LMS_RLS_xitongshibie
RLS算法和LMS算法在系统识别中的应用(RLS algorithm and the LMS algorithm in system identification application )
- 2011-12-23 17:15:19下载
- 积分：1
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MATLAB
自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。(Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband noise signal is Gaussian white noise, the delay D = 50 convergence factor, and when the filtering effect.)
- 2010-11-29 00:48:47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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NeuralNetworkMatlab
NeuralNetworkMatlab
神经网络讲义的matlab源代码(NeuralNetworkMatlab neural network overhead of Matlab source code)
- 2006-08-10 14:34:47下载
- 积分：1
