EMD-LabVIEW-paper-

说明：  对流层大气波导，可以使电波在较小的衰减下实现超视距传播，从而对无线电电子系统的运作产生严重的影响。对于通讯电路，它使系统间的相互干扰题目变得复杂；对于探测系统，产生的则是雷达空洞、超视距探测等题目。因此开展大气波导环境中电波传播特性及其应用的探究具有重大的理论意义和军事价值。 (Tropospheric waveguide, can make waves in the smaller attenuation achieve-the-horizon communication, and thus the operation of radio-electronic systems have a serious impact. For the communications circuits, which allows the mutual interference between systems has become a complex subject for the detection system is generated by the radar empty-the-horizon detection and other topics. Therefore, to carry out atmospheric environment of radio wave propagation characteristics of waveguides and its application to explore the theoretical significance and of great military value.)

安卓当中的layout_weight用法,一道经典的面试题(Andrews among layout_weight usage, a classic face questions)

直接总线控制数据采集用于高速数据采集的DMA技术.pdf(DMA)

机器视觉理论PPT,入门者可看下，主要介绍一些机器视觉入门内容(Machine vision theory PPT, beginners can look, introduces some of the machine vision getting started)

说明：  如何编译uclinux内核，希望对读者有一定的帮助。(How to compile uclinux kernel, I hope the readers will certainly help.)

《The Little SAS Book 中文版》以大量实例、清晰简明的解释以及尽可能少的术语来介绍SAS语言，且大部分的功能均来自Base SAS。Base SAS包含了所有程序员所使用的核心功能。(The Little SAS Book Chinese Edition introduces SAS language with a large number of examples, clear and concise explanations and as few terms as possible, and most of its functions come from Base SAS. Base SAS contains the core functions used by all programmers.)

鲁棒控制的大作业，论文中有题目和原程序，内有仿真图等原文件(Robust control of large operations, the paper has the title and the original program, within the simulation diagram and M files)

本书讲述Linux操作系统学习知识的同时用c语言做为实例语言(The book of knowledge about the Linux operating system, while learning to use language as an example of c language)

golang 1.5 源码分析, 详细解析了golang的内存分配、协程等(golang 1.5 source reading book)

说明：  本文提出了一种用于通信系统中无线电信号检测的自动调制识别框架。该框架考虑了深度卷积神经网络（CNN）和长期短期记忆网络（LSTM）。 此外，我们提出了一种预处理信号表示，其组合了调制信号的同相，正交和四阶统计。所提供的数据表示允许我们的CNN和LSTM模型对我们的测试数据集实现8％的改进。(Automatic Modulation Recognition using Deep Learning Architectures, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC))