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sym_correlation_profile
说明： 这个程序主要是对英特网无标度网络的仿真，很有用的哦(This program mainly for the Internet scale-free network simulation, very useful oh)
- 2011-04-10 15:45:13下载
- 积分：1
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EC
说明： 基于EC算法的自适应波束形成技术的仿真程序，运行正确
(Simulation program of the EC algorithm-based adaptive beam forming technology, the right to run)
- 2012-05-14 18:38:23下载
- 积分：1
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352
小波软硬阈值去噪及软硬阈值折衷法去噪程序(wavelet de-noising)
- 2012-02-28 09:53:08下载
- 积分：1
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lt
说明： 喷泉码的LT码的编码的matlab的部分仿真程序(Simulation of fountain codes
)
- 2012-03-30 15:57:58下载
- 积分：1
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DIP
数字图像处理matlab实现，包括如下程序：
1.直方图规定化为高斯双峰函数
2.窗口形状自适应（十字形或矩形）的中值滤波
3.彩色图像目标提取并与背景图像合成
4.插值外推法的彩色图像饱和度调整
5.多种插值方法实现的图像放大和缩小
6.频域变换及分析
7.几何校正
8.插值外推法的黑白图像对比度增强
9.运动模糊矫正(Digital image processing matlab realize, including the following procedures: (1) the bimodal histogram specification as a function of two Gaussian shape adaptive window (cross or rectangular) median filtering three color image with the background object extraction and image synthesis 4. Color image interpolation extrapolation saturation adjustment 5. various interpolation methods to achieve images zoom in and out 6. frequency domain transformation and analysis 7. geometric correction 8. interpolation extrapolation of the black and white image contrast enhancement 9. motion blur correction)
- 2013-11-28 16:01:34下载
- 积分：1
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Mlijingga
基于matlab的电力系系统潮流计算典例完整源代码。
(Matlab power system based on power flow callculation example of a complete source code.
)
- 2012-04-01 19:08:17下载
- 积分：1
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qpsk_ofdm_miso
mimo ofdm qpsk matlab code
- 2015-03-06 01:24:17下载
- 积分：1
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ROC
画ROC曲线,并求取相应的pf,pd值，求AUC值的matlab代码(Draw the ROC curve, and solve the PD, PF values)
- 2017-11-04 14:07:32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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NURBS
说明： 为NURBS曲线拟合程序，包括插值等内容。(it's the NURBS curve fitting program, including interpolation and so on.)
- 2020-11-05 20:49:50下载
- 积分：1
