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src-fusion
A. Fusion at the Feature Extraction Level
The data obtained from each sensor is used to compute a
feature vector. As the features extracted from one biometric
trait are independent of those extracted from the other, it is
reasonable to concatenate the two vectors into a single new
vector. The primary benefit of feature level fusion is the
detection of correlated feature values generated by different
feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy
[14]. The new vector has a higher dimension and represents the
identity of the person in a different hyperspace. Eliciting this
feature set typically requires the use of dimensionality
reduction/selection methods and, therefore, feature level fusion
assumes the availability of a large number of training data.
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- 积分：1
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ALOS
利用matlab读取ALSO SAR数据并进行成像。(ALSO image reading)
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frequencyoffsetfromanOFDMshortpreamble
Frequency offset estimation in 802.11a OFDM preamble
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Color_dirct_Diff
彩色全变差图像噪声处理 matlab代码(Color total variation image denoising matlab code)
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Chapter7-Matrix-Analysis
该为matlab详尽学习资料，第七章“矩阵分析”(The details for the matlab learning materials, Chapter 7, " Matrix Analysis" )
- 2013-07-23 20:27:46下载
- 积分：1
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SglMFC
绘图函数用mcc生成的代码嵌入VC工程实例，Win32 MFC版本(mapping function using mcc generated code embedded VC engineering example, Win32 version MFC)
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melfilter
melfiltter function use for speech recognition and have mel filter bank
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toolbox_wavelets
matlab code for Toolbox Wavelets
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oxford-mlmc-matlab-master
蒙特卡洛算法代码，实例验证，matlab历程(Monte Carlo algorithm code, case validation, matlab process)
- 2020-12-18 11:39:10下载
- 积分：1
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Sattellite5
code for sattelite calculaton
- 2013-09-14 17:34:43下载
- 积分：1
