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power
MATLAB环境下的直接法 间接法和welch法源程序和谱密度函数的曲线比较(MATLAB environment direct and indirect source Welch law and spectral density function of the curve)
- 2008-12-15 19:23:12下载
- 积分：1
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proy2
practice system operating
- 2009-12-02 13:48:51下载
- 积分：1
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LISANSHIJIAN
（1） 自行设计产生两个离散序列信号，对其进行相加、乘及卷积运算。
（2） 利用filter命令求下面LTI系统的冲激响应：
y(n)－0.7y(n－1)－0.6y(n－2) + y(n－3) = x(n) + 0.5x(n－1)
（3） 画出系统的零极点图，判断系统的稳定性、因果性。
（4） 绘出系统的频响曲线。(lisan time signal analyse )
- 2010-01-14 16:53:50下载
- 积分：1
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01
说明： 一些有关最优控制理论的控制实例程序集仿真 (Optimal control theory control instance assembly)
- 2012-06-11 16:30:17下载
- 积分：1
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inter4
bp for matlab and can be train each oder
- 2015-03-15 20:32:32下载
- 积分：1
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chepaishibie
基于matlab的车牌自动识别的程序和报告。希望对大家有帮助。(Matlab license plate recognition based on the procedures and reporting. I hope to be helpful.)
- 2011-05-12 13:15:18下载
- 积分：1
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3
说明： matlab编程环境下噪声信号的产生(噪声信号产生的matlab源代码)(creating noise signals )
- 2011-12-12 14:34:22下载
- 积分：1
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fbgg
光栅的矩阵传输MATLAB程序，是用来求折射率周期分布的光栅的反射率和折射率的(MATLAB program grating transfer matrix is used to find the grating period distribution of the refractive index and refractive index of the reflectance)
- 2014-04-07 14:28:47下载
- 积分：1
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1807.01622
深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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Satellite-Attitude
卫星运动学和姿态动力学模型，采用Matlab的S-function来创建模型，可以方便更改参数(Satellite kinematics and attitude dynamics model using Matlab S-function to create the model, you can easily change the parameters)
- 2013-04-14 00:05:47下载
- 积分：1
