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07027162
IMPARARE IL C++ in 2 ore e mezzo?
Modulo-000
- 2015-03-10 23:22:16下载
- 积分:1
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stepfr
说明: 国外关于雷达线性和非线性调频技术的描述包含脉冲压缩结果图(Abroad on the radar, linear and nonlinear FM pulse compression technology, includes a description of the results of Figure)
- 2010-03-26 11:53:43下载
- 积分:1
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00366298
气象雷达的仿真与分析,为研究机载雷达的工程人员提供真实有效的理论分析与仿真(Modern estimation theory and artificial intelligence
technology are applied to the Wind Shear Safety Advisor, a
conceptual airborne advisory system to help flight crews avoid
or survive encounter with hazardous low-altitude wind shear.
Numerical and symbolic processes of the system fuse diverse,
time-varying data from ground-based and airborne measurements.
Simulated wind-shear-encounter scenarios illustrate the need
to consider a variety of factors for optimal decision reliability.
The wind-shear-encounter simulations show the potential of the
Wind Shear Safety Advisor for effectively integrating the available
information, highlighting the benefits of the computational
techniques employed.)
- 2012-07-09 22:15:11下载
- 积分:1
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hibernate_annotation
hinbernate的练习适合新手的学习和使用。(Three practical feasibility of SSH framework)
- 2015-03-04 19:18:07下载
- 积分:1
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Lab01
methods of optimalization, davidon
- 2013-05-17 03:05:03下载
- 积分:1
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FinalOne
amplitude modulation system using simulink matlab
- 2009-05-11 18:32:58下载
- 积分:1
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criterion_pic1
两种图像重建质量判定方法,全图熵(ENT)和目标杂波比(Target to clutter ratio)。(Two criterion for image reconstruction,full image entropy and target to clutter ratio)
- 2016-11-24 22:07:29下载
- 积分:1
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IMAGE--RESTORATION
matlab code for image restoration
- 2013-11-01 02:06:39下载
- 积分:1
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MPPT
最大功率跟踪爬山法的控制模型,可成功跟踪,带滤波(MPPT control model climbing method can successfully track with filter)
- 2015-03-11 21:35:05下载
- 积分:1
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HHT
把HHT和神经网络结合起来,识别出是否故障。对于HHT变换,这里用到的是它的IMF分解,然后用能量理论来判别哪些模组是虚假分量,哪些是是真实分量。对于EMD分解后的谱进行特征提取 ,利用的理论基础就是模糊熵。计算出真实 分量的模糊熵,作为输入层;输出层为两个神经元,为0(故障 )1(正常 (正常 )判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)
- 2016-03-09 12:58:20下载
- 积分:1