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IntensityGraph
labview的基础教程，特别适合刚刚入行的新手学习练习使用。(The basic LabVIEW tutorial, and are particularly suited to the trip just to practice using the new study.)
- 2009-02-20 16:54:14下载
- 积分：1
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usb-keystroke-injector-master
说明： keylogger with usb. records key strokes
- 2020-11-19 15:30:11下载
- 积分：1
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有关手势识别综述文章
1.基于视觉手势识别的研究_综述
2.基于手势识别的人机交互发展研究
3.手势识别技术综述
4.手势识别研究概述...
有关手势识别综述文章
1.基于视觉手势识别的研究_综述
2.基于手势识别的人机交互发展研究
3.手势识别技术综述
4.手势识别研究概述-Review article on the gesture recognition 1. Based on visual gesture recognition research _ Summary 2. Based on Gesture Recognition Development Study of Human-Computer Interaction 3. Gesture Recognition Technology 4. Gesture recognition research overview
- 2022-06-17 06:26:10下载
- 积分：1
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模型预测直接转矩
基于模型预测的永磁同步电机直接转矩控制，通过建立其预测模型，并且评估每个电压矢量作用所产生的结果，选择最优的电压矢量并得到其PWM信号施加到变压器上以此来控制PMSM的转矩。该文件包含仿真文件，但是不包含模型预测控制的程序，程序获取方式在文件中(Direct torque control of permanent magnet synchronous motor based on model predictive control is established. By establishing its prediction model and evaluating the result of each voltage vector action, we select the optimal voltage vector and get the PWM signal to be applied to the transformer to control the torque of PMSM.)
- 2021-04-12 19:08:56下载
- 积分：1
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moto software flash, unlock
moto software flash ,unlock -moto software flash, unlock
- 2022-10-31 21:55:03下载
- 积分：1
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frmBargain
说明： 今天做的一个C#的小例子，希望初学者能够汲取精华，学习到更多的知识(A small example of C# today, I hope beginners can learn the essence and learn more knowledge.)
- 2020-06-25 07:40:02下载
- 积分：1
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luyin
很难找道的，网上就算有也要像一先收肥的论坛。(It is hard to find road, even if there are like online forums of your fertilizer.
.)
- 2012-04-18 18:07:49下载
- 积分：1
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sy
说明： 轴承寿命预测，数据预处理时，需要特征提取进行时域变换，比如均方根、峭度、幅值等等。(Time domain transformation)
- 2021-03-29 15:59:10下载
- 积分：1
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xinhaocaiji
一个基础的 信号采集程序
能实现基础信号采集(labview xinhaocaiji)
- 2011-12-18 16:52:20下载
- 积分：1
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pspline.tar
指定预测变量的惩罚样条基础。这是通过拟合一组相对较小的样条并惩罚积分二阶导数来完成的。传统的平滑样条曲线每次观察使用一个基础，但是一些作者指出，对于大于自由度的2-3倍的任何数量的基函数，拟合的最终结果是难以区分的。Eilers和Marx指出，如果基函数是均匀间隔的，这会导致显着的计算简化，它们将结果称为p样条。(Specifies a penalised spline basis for the predictor. This is done by fitting a comparatively small set of splines and penalising the integrated second derivative. Traditional smoothing splines use one basis per observation, but several authors have pointed out that the final results of the fit are indistinguishable for any number of basis functions greater than about 2-3 times the degrees of freedom. Eilers and Marx point out that if the basis functions are evenly spaced, this leads to significant computational simplification, they refer to the result as a p-spline.)
- 2020-06-15 22:35:01下载
- 积分：1
