单轴压缩444

一个C#毕业设计完整源码+文档：图片查看器，由广东交通职业技术学院计算机工程学院学生所编写。本图片浏览器是一款集动态图片查看，音乐视听，截图抓屏、图片简单滤镜处理等功能与一体的图片管理软件，是一款比较适合广大普通用户和非计算机专业的用户的图片查看处理软件，具体包括以下主要功能：. 　　1.能对图片文件和进行简单的操作管理 　　2.可对图片浏览进行控制 　　3.对一个文件夹下打开的图片文件进行自动浏览 　　4.在对图片浏览时打开平常经常用的软件起辅助作用。 　　5.对于黑暗、不清晰的图进行简单的处理使其更清晰。 　　6.抓图截图的功能包含： 　　7. 对图片进行各种滤镜处理来达到一定视觉效果。包含： 　　8.图片的显示位置及方式。

红外光谱会发生基线偏离，用多项式拟合方法可以消除基线偏离。(Infrared Spectrum Baseline Correction)

说明：  KMO检验，用于统计学的相关分析，方便确认是否可应用PCA分析(KMO test, used for statistical correlation analysis, to confirm whether PCA analysis can be applied)

说明：  这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)

说明：  Slip-ratio-based methods are commonly used to control the wheel torque such that the wheel dynamics is stabilized and the desired traction/braking force is attained; however, slip-ratio-based controllers are incompetent for precise longitudinal tire force tracking due to nonparametric tire model uncertainties.

mini cortez mybusiness pos v11

东海李莲中学网页源代码下载学习指导参考文件-The East China Sea Lian-school study guide website to download the source code reference document

说明：  《PyQt5快速开发与实战》 第二章节 程序(PyQt5 Rapid Development and Practice Chapter 2 Procedure)

To record alumni contact information

说明：  波束形成的几个程序，LCMV准则，广义旁瓣对消器算法(Several programs of beamforming, LCMV criterion, generalized sidelobe canceller algorithm)