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jishuqi
一个简单的计算器程序，进行简单的数学计算，正确无误(A simple calculator program to carry out simple mathematical calculations are correct)
- 2009-04-19 17:13:38下载
- 积分：1
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wannnpid
基于小波神经网络辨识的PID神经模型源程序(wavelet-based neural network identification of the source of PID neural model)
- 2006-06-03 20:34:52下载
- 积分：1
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fenkong
脉动风 谐波叠加 高层结构和高耸结构的顺风向的脉动效应(wind history)
- 2012-04-10 15:13:21下载
- 积分：1
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8
说明： MATLAB源程序：支持多重边的欧拉巡回的matlab程序(MATLAB source: Supports multiple edges Euler tour matlab program)
- 2013-08-27 18:32:59下载
- 积分：1
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mov2im
save out a series of images from a movie in Matlab
- 2013-10-30 03:43:39下载
- 积分：1
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improvedProny1
this is improved prony method that is very strengs for noisy signal
- 2021-05-08 18:58:35下载
- 积分：1
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VSGwuyuan
基于PQ控制的微网系统逆变器电源建模仿真鱼研究(Fish simulation system based on micro-grid power inverter control modeling PQ)
- 2015-06-05 20:10:04下载
- 积分：1
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test2
ecma-368 ultra wide band ber test2
- 2013-01-13 05:23:47下载
- 积分：1
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suijiyanhua
随机演化博弈的案例代码，文档有具体的方程，代码直接运行，简单易懂(Random evolution game case code, the document has a specific equation, the code runs directly, easy to understand)
- 2021-01-05 16:18:54下载
- 积分：1
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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.
- 2013-03-14 16:40:42下载
- 积分：1
