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a
说明： 不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter.
The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners.
A small number of filters covers the entire image.
This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)
- 2007-11-22 15:54:19下载
- 积分：1
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OFDM
OFDM信道估计程序 是基于导频的OFDM信号信道估计的matlab程序(OFDM channel estimation procedures is estimated based pilot OFDM signal channel matlab program)
- 2012-10-03 17:47:23下载
- 积分：1
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1110000
用ADS和matlab进行了PLL的仿真实现，对与PLL的学习有一定的作用(Carried out with the ADS and the PLL matlab simulation realization, and the PLL has a role in learning)
- 2010-10-12 13:17:36下载
- 积分：1
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C-V
说明： C-V模型实现灰度图像和彩色图像的分割,运用水平集方法实现曲线演化(using Chan-Vese model color image segmentation )
- 2011-03-24 17:07:50下载
- 积分：1
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Modulate-and-demodulate-a-signal-using-DBPSK-modu
modulation and demodulation using OFDM
- 2015-02-01 17:57:29下载
- 积分：1
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M01
关于Matlab的课件，里面含有数学建模的基础知识，对于数学建模的了解是很有帮助的(Courseware on Matlab, which contains the basics of mathematical modeling, mathematical modeling for understanding is helpful)
- 2011-10-25 14:32:04下载
- 积分：1
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对HDF5遥感数据的读写 calculate-H2O
实现对HDF5遥感数据的读写,包括数据格式的查看，数据读取，输出图像，图例等(HDF5 remote sensing data read and write, including data format to view, data is read, the output image, legends, etc.)
- 2015-12-14 16:31:36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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MIMO_OFDM_system
IN highly scattered enviroment，the Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after decomposition) is distributed as water-filling algorithm(IN highly scattered enviroment, the Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after decomposition) is distributed as water-filling algorithm)
- 2008-07-05 10:18:03下载
- 积分：1
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colibri
Iam uploaded the blog theam file
- 2011-01-18 00:05:00下载
- 积分：1
