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于 2014-06-11 发布文件大小:2KB

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下载积分: 1 下载次数: 22

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matlab画折线图进行比较，有图标图例(use matlab to get chart)

文件列表：

drawChart - 副本 - 副本 - 副本 - 副本.m,375,2014-05-23
drawChart - 副本 - 副本 - 副本.m,375,2014-05-23
drawChart - 副本 - 副本.m,375,2014-05-23
drawChart - 副本.m,375,2014-05-23
drawChart.m,375,2014-05-23

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fangzhen
matlab仿真模型，可以当作毕业设计内容使用。(matlab simulation model can be used as a graduation project content.)

2008-08-03 19:57:38下载

积分：1
matlab
说明： matlab的一个人脸识别系统包括gabor，pca，ica的源码(matlab a face recognition system includes gabor, pca, ica source)

2008-11-03 14:23:01下载

积分：1
phat_cs
PHAT-based cross correlation

2012-07-12 19:23:37下载

积分：1
pso
Particle Swarm Optimization

2014-01-05 23:18:58下载

积分：1
matlab_fvs_12_29_03
指纹识别MATLAB程序绝对原创指纹识别MATLAB程序绝对原创(MATLAB procedures fingerprint fingerprint absolutely original absolute original MATLAB program)

2009-04-28 14:17:43下载

积分：1
eemd-fft
First use EEMD to decompose the original singal to get IMFS,then use FFT to analyse the each IMF,combine EEMD with FFT to get clearer analytic results.

2013-10-05 22:43:00下载

积分：1
noma_test
这是一个非正交环境下的程序，两个用户分在一个子载波内，通过分配不同的功率，才接受端采用SIC进行信号消除。(This program is a non-orthogonal environment, within a two-user subcarrier, by allocating different power, only the receiving end of the signal to eliminate the use of SIC.)

2021-04-14 16:18:55下载

积分：1
MKMsourcecode
MKM分类算法的matlab程序实现。不是例程，自己编写并调试通过，能正确分类。(MKM classification algorithm matlab Program. Is not routine, I have written and debugged, to correct classification.)

2010-05-22 18:30:44下载

积分：1
370644RAFisher2cda
fisher判别分析的matlab压缩文件(fisher discriminant analysis)

2012-09-23 10:30:57下载

积分：1
dispatch
Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

2013-12-14 14:24:24下载

积分：1

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