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capacity_water
用matlab实现MIMO中的注水算法，并绘制累计分布函数(fullfill water-filling algorithm using matlab in mimo and drawing CDF)
- 2009-10-04 09:45:43下载
- 积分：1
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amoeba
matlab编写的多元变量最小化问题的downhill方法求解(Matlab prepared by the multi- variable minimization problem solving methods downhill)
- 2006-09-14 17:53:14下载
- 积分：1
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overvoltage
电系统过电压仿真程序，基于matlab和vc的混合编程，matlab动态仿真(Over-voltage power system simulation program, based on matlab and vc mixed programming, matlab dynamic simulation)
- 2008-03-16 01:52:16下载
- 积分：1
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DSP_MATLAB
关于数字信号处理的MATLAB例程，包括随机信号产生，线性调频Z变换，卷积(MATLAB on digital signal processing routines, including the random signal generation, chirp Z transform, convolution)
- 2010-12-02 00:00:51下载
- 积分：1
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MC
说明： 脉冲体制下的相控阵雷达测角精度以及测距精度程序(Pulse under the system of phased array radar angle measurement accuracy and precision of procedures ranging)
- 2011-02-23 00:04:31下载
- 积分：1
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dct2dim_ib001
A matlab program that implements the 2D DCT equation. Compares the results with the built-in function output for correctness
- 2011-10-05 20:38:46下载
- 积分：1
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随机振动-matlab程序
说明： 好几个关于随机振动，结构动力学方面求解的算法，包括PSD法，PEM法，模态空间法，虚拟激励法等算法的基础程序(Several algorithms for solving random vibration and structural dynamics, including PSD method, PEM method, modal space method and virtual excitation method, are introduced.)
- 2020-12-17 10:49:13下载
- 积分：1
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1807.01622
说明： 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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Video-Object-Tracking
video object tracking using camera
- 2012-02-12 21:42:53下载
- 积分：1
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tiaopin
说明： 调频信号的时-频分析 针对时变信号有很好的效果(When FM signals- frequency analysis for time-varying signal has good results)
- 2007-10-11 20:36:36下载
- 积分：1
