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imvectrol5
this is an induction motor vector control model in MATLAB/simulink environment.
- 2009-06-01 21:45:25下载
- 积分：1
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skin-detection
This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this script can be refined and processed to be fed into larger face detection and tracking, gesture recognition, and other HCI applications.
- 2011-02-04 01:15:04下载
- 积分：1
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SVM-classifier
用matlab实现非线性支持向量机分类器对多类进行分类。(Using matlab to achieve non-linear support vector machine classifier for multi-class classification.)
- 2011-05-02 19:16:35下载
- 积分：1
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pso_pid
pid design by pso algorithm
- 2011-07-05 19:14:56下载
- 积分：1
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UltraSound
Some algorithms in the realm of ultrasound
- 2011-07-07 10:53:11下载
- 积分：1
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dijkstraf
地杰斯特拉算法的matlab，很好用~非常适合在图论中的应用~(folyd algorithm matlab, with very good ~ very suitable for application in Graph Theory ~)
- 2012-08-08 20:13:24下载
- 积分：1
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simulatorgrid
电网模拟器，用来模拟电网的各种故障，用来检测并网逆变器的性能。(the gridsimulator use back to back PWM simulator realise the grid )
- 2016-09-07 16:16:07下载
- 积分：1
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MATLAB-SIMULINK-Simulation
《电力系统的MATLAB-SIMULINK仿真与应用》 王晶等编 2008年(Power system MATLAB-SIMULINK simulation and application Jing, eds 2008)
- 2013-09-21 19:59:43下载
- 积分：1
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eee
Nonlinear uncertain systems design of robust sliding-mode observer
- 2010-11-08 17:11:30下载
- 积分：1
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ECG
The early detection of arrhythmia is very important
for the cardiac patients. This is done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different types of arrhythmias. In this paper, we present three
different algorithms of features extraction: Fourier transform
(FFT), Autoregressive modeling (AR), and Principal Component
Analysis (PCA). The used classifier will be Artificial Neural
Networks (ANN). We observed that the system that depends on
the PCA features give the highest accuracy. The proposed
techniques deal with the whole 3 second intervals of the training
and testing data. We reached the accuracy of 92.7083
compared to 84.4 for the reference that work on a similar
data.
- 2011-09-22 19:15:10下载
- 积分：1
