CloudConfGUI-master

This file contain drivers for application running in apple macs

图像均值滤波器和中值滤波器，并求出PNSR，即信噪比(figure operator)

Its a IEEE Pesgm 08 paper.

Spectral estimation（谱估计）的目标是基于一个有限的数据集合描述一个信号的功 率（在频率上的）分布。功率谱估计在很多场合下都是有用的，包括对宽带噪声湮没下的信 号的检测(Spectral estimation)

说明：  这里面包括近百个matlab常用函数的例程，是学习matlab的好帮手。(This includes nearly one hundred matlab routines of commonly used functions, a good helper to learn matlab.)

这是一本非常好的书，对于学习matlab非常有用处，（用超星阅读器打开）(This is a very good book for learning matlab very useful, (with Chaoxing Reader to open))

IEEE paper on ofdm genration

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.)

200 THz electric field modulated by Gaussian envelope

A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.(A multi-Kalman filtering approach for vid eo tracking of human-delineated objects in clu ttered environments is an latest PH.D. graduati on paper! it give needing to most people.)