fenxinggongjuxiang1

DFT BASED PRECODING FOR ostbc

Avi Manipulation Program

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.)

经由HSI彩色空间转换、Canny算子边缘检测、索书号边缘点彩色分割等步骤的索书号文字图像分割（内含源文件和所用图像）(HSI color space conversion via, Canny operator edge detection, image segmentation Call Call text color segmentation edge point steps (including source files and the image))

一种将高频强调滤波同直方图均值化结合的图像增强方法，是图像边缘更加清晰。(A high frequency emphasis the filtering mean histogram of the combination of image enhancement methods, the edges of the image is more clear.)

Covariance Matrix Adaptation CMA-ES

基于铌酸锂光波导中飞秒光参量放大过程中的脉宽变化及各光波的传播三维图matlab源代码(Based on lithium niobate waveguide femtosecond optical parametric amplification process changes and the light pulse propagation three-dimensional map matlab source code)

lingjian.m-----蒙特卡罗方法(Monte Carlo)

说明：  计算函数的极值的一种方法 只是其中一种 以后会陆续上新的(Calculation of the extremal function is just one of a method of the future will continue on a new)

说明：  计算HURST指数，自己编写，这是经过修正之后通过变成得出来的结果，网上一般很少有这类文件。(HURST index calculation, write your own, which is revised after the results come through into a very, very few of these files online usually.)