BO_Study

说明：  用python爬虫抓站的实用技巧，学习python爬虫抓站的实用知识(Practical Skills of Python Crawler Grab Station)

说明：  北航《系统辨识与自适应控制MATLAB仿真》(Beihang "system identification and adaptive control Mtalab simulation" example source code)

反卷积和信号复原是信号处理技术中具有理论挑战性的分支。由于应用广泛，它一直是研究热点。有关的研究报告散布于各种专业学术技术刊物和书籍。但对于准备从事信号处理的各专业学生和研究人员还缺乏一本反映近期发展、具有引导性和系统性的书。本书希望弥补这种不足。作者对本领域所需要的基础进行了系统的整理，力求本书能包括主要基础，反映重要进展、难点和发展方向。书中强调了反卷积问题的物理起源、理论方法的要点、适应范围和限制；包括了若干程序例子和实际数据，可为读者进入应用提供帮助；同时又包括了系统深入的理论基础和前沿发展，可满足希望进入前沿研究读者的需要。(Deconvolution and signal recovery is a signal processing technology, a branch of theoretical challenge. Due to its wide, it has been a research focus. The study report is dispersed in the various professional academic and technical journals and books. But prepared to engage in signal processing for professional students and researchers still lack a reflect recent developments, with leading and systematic book. This book can compensate for this deficiency. The authors in this area needed a basis for a systematic order, and strive to include the main basis of this book, reflecting the significant progress, problems and development direction. The book emphasizes the physical origin of deconvolution problems, the main points of theoretical approaches to meet the scope and restrictions includes a number of procedural examples and actual data, can help the reader into the application the same time, the system includes in-depth theoretical basis and leading-edge the development of cutting-e)

perform3D混凝土资料，对于学习混凝土结构的建模有很大的帮助(perform3D concrete assistant, a great help for learning the modeling of concrete structures)

CSAPP PPTCSAPP PPTCSAPP PPT

详细讲解了PCA故障处理中的T2统计量的推导过程(The derivation of T2 statistics in PCA fault handling is explained in detail.)

51CTO下载-第05章用户设备配置.pdf(51CTO downloads- Chapter 05 user device configuration pdf.)

小波十讲(中文版)-Ingrid Daubechies著 李建平译(Wavelet ten (Chinese version) Daubechies-Ingrid with Li Jianping translation)

说明：  弹片机教程单片机教程上载内容 返回首页 请一定要上载质量高而且本站没有的源码 (shrapnel-SCM Guide tutorial on the contents of Home Requests must be of high quality on the site but not the source)

R软件安装及应用，R上输入下图中红色的命令，之后再弹出来的镜像那个选一个比如香港(Installation and Application of R Software)