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说明：  智能视频监控系统目标检测和跟踪技术分析研究(Intelligent video surveillance system target detection and tracking of technical analysis)

说明：  东北大学信息学院操作系统的课件，主讲老师是王大玲，很好的资料，本科生必备！(Northeastern university institute of information of the operating system courseware, the teacher is WangDaLing, very good material, the undergraduate must own!)

该书是一本通信对抗专业的实用参考书。系统地介绍了现代抗干扰通信技术(主要是直接序列扩谱和跳频扩谱)和抗干扰通信的检测技术，讨论了每一种基本抗干扰信号类型的干扰技术，包括干扰直接序列扩谱信号、干扰快跳频扩谱信号、干扰慢跳频扩谱信号和干扰直接序列扩谱/跳频扩谱混合信号。该书的读者对象是电子战和通信对抗领域的工程师和科技工作者，也可供通信领域的科技工作者参考。(Content HighlightsAnti-Jam Communications and Electronic Countermeasures. Radio Frequency Propagation. Signaling for AJ Communications. Jamming Techniques. Anti-Jam Signal Detection. Jamming Direct Sequence Spread Spectrum Systems. Jamming Fast Frequency Hopping Systems. Jamming Slow Frequency Hopping Systems. Jamming Hybrid Spread Spectrum Systems.)

作为学习的资料，这是我学习c语言的一些重要记录(Information for learning, this is my c language learning some of the important records)

EtherCAT 从站设备代码例程，做Ethercat 的可以参考一下，从站实现了FOE 和COE 功能

这是一本介绍PYTHON编程的好书，其中内容详实，举例经典，且有详细的代码可供参考，极为适合初学者使用。(This is an introduction PYTHON programming books, including informative, the classic example, and there is a detailed code for reference, very suitable for beginners to use.)

给定波前像差的数据，能够分解出各项Zernike系数，方便进行分析。(Given the data of the wavefront aberration, it is possible to decompose various Zernike coefficients to facilitate analysis.)

彩色数字图像处理（很清晰）主要包含三部分内容：数字图像处理色彩基础、彩色图像压缩、色彩量化（涉及Clustering、Grouping、Merge等矢量量化的算法）。 (Main content: Color fundamentals for digital imaging Compression of color images Color quantization（include Clustering、Grouping、Merge method for vector quantization ）)

模型预测控制应用到汽车上非常好的一本书，能给汽车人士提供参考。(Model predictive control in the vehicle)

说明：  PyTorch是一个基于Torch的Python开源机器学习库，用于自然语言处理等应用程序，中文版官方教程是经典的PYTHON入门到深入教程(Pytorch is an open-source machine learning library for Python based on torch, which is used for natural language processing and other applications. The official Chinese version of the tutorial is a classic introduction to Python to in-depth tutorials)