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2013041677756857

于 2016-06-24 发布文件大小:73KB

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下载积分: 1 下载次数: 7

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代码说明：

本文件是一个基于matlab环境下的手势识别程序。(This document is based on matlab environment gesture recognition program.)

文件列表：

Image_Codes
...........\ASLfisher.p,580,2013-04-16
...........\ASlknn.p,258,2013-04-16
...........\ASLmain.m,3734,2012-04-25
...........\ASLsvm.p,269,2013-04-16
...........\ASLTest.m,3792,2012-04-25
...........\ASLvid.m,3621,2012-04-25
...........\computeSkinProbability.m,676,2012-04-03
...........\Fisherget.m,260,2012-04-25
...........\normalise.m,177,2012-04-03
...........\PCAget.m,407,2012-04-08
...........\PCAget.p,187,2013-04-16
...........\PCATraining.p,528,2013-04-16
...........\preprocessing.p,582,2013-04-16
...........\skinmodel.bin,131072,2012-04-03
...........\skintest.m,2151,2012-04-22

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一种同质的多传感数据融合新算法，克服了融合过程中必须依赖于多传感数据之间关系阀值的人为经验设置问题(Of a homogeneous multi-sensor data fusion algorithms, to overcome the integration process must rely on the relationship between multi-sensor data set the threshold issue of human experience)

2009-11-06 02:39:40下载

积分：1
real_noise
Adds noise to processes x1(n) and x2(n), at SNR=snr, using seeds s1 and s2.(Adds noise to processes x1 (n) and x2 (n), at SNR = snr, using seeds s1 and s2.)

2006-11-30 12:43:38下载

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Etap1
It is the corresponding testing module of the function that is specified in the training phase. test_set is a NxD matrix where N is the number of samples in the test set and D is the dimension of the feature space. true_labels is a Nx1 matrix specifying the class label of each corresponding sample s features (each row) in test_set . adaboost_model is the model that is generated by the function ADABOOST_tr .

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induction machine detection fault

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amplitude shift keying,frequency shift keying.phase shift keying,pulse amplitude modulation,pulse width modulation

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Blind-identification
利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源(Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters, and then use these parameters obtained by the signal power spectrum, power spectrum qualitatively described by the main noise source and the second noise source. In the use of qualitative description of the noise signal power spectrum of the source, the further use of the correlation curve and the curve of quantitative similarity identification of the main noise source and the second noise source)

2011-11-20 22:07:43下载

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