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Capacity_VDD_Relay_1_2_1
中继系统由于可以扩展小区覆盖范围，改善小区边缘用户吞吐量，而成本低，得到了越来越广泛的重视。本文件仿真了中继系统中的可获速率。(Available rate of relay system.)
- 2010-09-02 19:34:58下载
- 积分：1
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BSS_start
盲信号分析入门，含matlab代码和图片说明，是初学者的宝贵资料。(Blind signal analysis started with the matlab code and captions, is valuable information for beginners.)
- 2012-08-13 02:05:23下载
- 积分：1
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semigrand_698F
Semi-grand ensemble simulations and Gibbs-Duhemintegration
- 2013-04-01 18:27:59下载
- 积分：1
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OFDM
OFDM正交多载波传输技术具有抗无线传输多径效应影响的能力，正逐步成为各种宽带无线数字传输系统(OFDM Orthogonal multi-carrier transmission technology with anti-multipath effects of wireless transmission capacity, is becoming a variety of broadband wireless digital transmission system)
- 2010-05-13 21:24:52下载
- 积分：1
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fuzzyPID
模糊PID控制器matlab simulink仿真,自适应模糊PID控制的仿真文件和模糊规制编写(Fuzzy PID controller matlab simulink simulation, simulation of adaptive fuzzy PID control and fuzzy regulatory documents prepared)
- 2020-09-07 16:18:03下载
- 积分：1
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HIO-algorithm
基于HIO算法的破解POCS（基于约束集投影）加密系统的MATLAB程序。(HIO algorithm based on crack POCS (projection based on a set of constraints) MATLAB program encryption system.)
- 2013-12-06 10:35:30下载
- 积分：1
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emd
说明： 基于matlab的EMD分解算法的源代码，可用于脉搏分析(The EMD-based decomposition algorithm matlab source code can be used for pulse analysis)
- 2011-03-24 15:50:03下载
- 积分：1
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Lyapunov_exponents_luzhenbo
说明： 1、LargestLyapunov_example1.m 程序主文件1，直接运行此文件即可
2、LargestLyapunov_example2.m 程序主文件2，直接运行此文件即可
3、LorenzData.dll 产生 Lorenz 离散数据
4、PhaSpaRecon.m 相空间重构
5、Lyapunov_luzhenbo.dll Lyapunov 计算主函数
6、lyapunov_buffer.dll Lyapunov 计算缓存(1, LargestLyapunov_example1.m procedure master file 1, run this file directly to 2, LargestLyapunov_example2.m procedure master file 2, run this file directly to 3, LorenzData.dll generated Lorenz discrete data 4, PhaSpaRecon.m phase space reconstruction 5, Lyapunov_luzhenbo.dll Lyapunov calculation of the main function of 6, lyapunov_buffer.dll Lyapunov cache calculation)
- 2006-03-23 19:14:50下载
- 积分：1
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FFT_practise_and_analysis
一个FFT的matlab例子，详细讲述了FFT的输出结果与点数，还有采样频率FS之间的关系，对于新手来说，理解这些很有用(A FFT example based on MATLAB. The relationship between output of FFT and the nummber of point of FFT and Fs is detailed in it.)
- 2011-11-25 16:19:26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
