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MATLAB
MATLAB常用到的，比较基础的代码，有实例教学，很适合新手(MATLAB used to compare the basis of the code, there are examples of teaching, it is suitable for novice)
- 2008-04-09 11:34:54下载
- 积分：1
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filter
：本文主要研究了应用多相滤波技术的信道化接收机建模问题。在给定信道频谱划分方案下，推导了基于多相
滤波器的信道化接收机数学模型。并由此模型设计了一个四信道模拟系统。最后用仿真实验结果验证了模型的正确性。(research a wave filter
)
- 2021-03-09 15:49:27下载
- 积分：1
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music
this file generate a MUSIC function
- 2010-10-19 16:06:51下载
- 积分：1
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algorithm
说明： 模拟退火法，蚁群算法，遗传算法，分水岭算法等常见算法的Matlab程序(Simulated annealing, ant colony algorithm, genetic algorithm, watershed algorithm common algorithm Matlab program)
- 2010-04-09 16:05:03下载
- 积分：1
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LTEnew
是一个根据最新LTE标准写的一个链路实现程序和信道估计程序，所用信道是标准信道，不好信道编码(According to the latest LTE is a standard written procedures and the achievement of a link channel estimation procedure is used in the standard channel channel, not channel coding)
- 2009-05-08 21:46:09下载
- 积分：1
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exchangeline
中国一号信令线路信令中国一号信令线路信令(digital channel associater exchange line signalling public network, standard)
- 2010-01-25 14:21:20下载
- 积分：1
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wavefor1d
本程序实现1D声波正演，擦用Clyton单程波吸收边界条件。(This program implements 1D acoustic wave equation, rub with Clayton one-way wave absorbing boundary condition)
- 2013-09-25 12:11:32下载
- 积分：1
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MIL-learners
代码是关于数据挖掘方面的代码。内含4个可以用于多实例学习的分类及作出结果。(Code is on the data mining code. Includes four multi-instance learning can be used to make classification and results.)
- 2011-10-29 10:08:28下载
- 积分：1
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reconosimiento-de-voz
Get reduce the size of an original sound file between half to three quarters of the initial size. The FLAC format is often used to sell music online, and as an alternative to MP3 to share when you want to reduce the file size would have
- 2013-11-12 02:35:06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
