如何进行边缘检测/边缘提取（对弹孔进行边缘检测）五种边缘检测算法

深度强化学习（Deep Reinforcement Learning ）是研究的热点之一，在2019年DeepMind OpenAI等发表多篇热门论文。来自SprekelerLab的博士生 Robert Tjarko Lange总结了2019年十大深度强化学习论文，涉及到大型项目、模型RL、多代理RL、学习动力学、组合先验等，值得一看。

Spatial Data Analysis: Theory and Practice provides a broad-ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy-related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modelling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master’s level students, but it also contains sufficient challenging material that it will be of interest to geographers, social scientists and economists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis.

《Mind on Statistics（05th E）》Jessica M. Utts Robert F. Heckard 2015

这里给出了4种经典的边缘检测算子在matlab中的算法实现，可运行

《High Speed SerDes Devices and Applications [ISBN_ 978-0387798332]》David Robert Stauffer.pdf 《高速SerDes器件和应用》 [ISBN_ 978-0387798332]David Robert Stauffer 英文版

Robert S. Elliott 的《antenna theory and design》《天线理论与设计》很好的书。

本书全面系统地介绍了由香农于1948年提出的信息论与编码理论的主要内容，以及近几十年来该领域的一些重要研究成果。作者首先在引言中向读者简单介绍了信息论与编码理论的基本思想；第一部分讲解了香农信息论与编码理论的主要内容，如熵和信息量的基本概念与性质，以及信道编码定理和信息源编码定理；第二部分介绍了一些基于香农编码理论的信道和信源编码方法，具体包括线性码、循环玛、BCH和RS码、卷积码等信道纠错编码，以及变长信源编码等。本书内容丰富翔实，对基本概念和基础理论的阐述清晰明了，同时也充分反映了相关领域的研究进展情况。 本书适合作为高等院校信息与通信工程专业研究生或本科生的教材或参考书。书中提供的几十道例题和几百道习题也有助于具有一定概率论和线性代数知识的人自学。

数据结构与算法Java语言描述(第2版)。资源中包含了PDF电子书和完整程序源代码。英文的，但描述简单易懂。 与其它同类书相比，本书的特点：1.很少的理论和数学公式；2.每章的算法都有完整的程序代码，程序代码可以运行；3.提供演示程序(applet)，显示算法执行中数据的变化，有助于理解算法的工作原理；4.有助于提供Java编程能力。 特别说明：作者是Robert Lafore。因为存在一本同名的书。

This fourth edition of Robert Sedgewick and Kevin Wayne’s Algorithms is the leading textbook on algorithms today and is widely used in colleges and universities worldwide. This book surveys the most important computer algorithms currently in use and provides a full treatment of data structures and algorithms for sorting, searching, graph processing, and string processing--including fifty algorithms every programmer should know. In this edition, new Java implementations are written in an accessible modular programming style, where all of the code is exposed to the reader and ready to use. The algorithms in this book represent a body of knowledge developed over the last 50 years that has become indispensable, not just for professional programmers and computer science students but for any student with interests in science, mathematics, and engineering, not to mention students who use computation in the liberal arts. The companion web site, algs4.cs.princeton.edu, contains An online synopsis Full Java implementations Test data Exercises and answers Dynamic visualizations Lecture slides Programming assignments with checklists Links to related material The MOOC related to this book is accessible via the "Online Course" link at algs4.cs.princeton.edu. The course offers more than 100 video lecture segments that are integrated with the text, extensive online assessments, and the large-scale discussion forums that have proven so valuable. Offered each fall and spring, this course regularly attracts tens of thousands of registrants. Robert Sedgewick and Kevin Wayne are developing a modern approach to disseminating knowledge that fully embraces technology, enabling people all around the world to discover new ways of learning and teaching. By integrating their textbook, online content, and MOOC, all at the state of the art, they have built a unique resource that greatly expands the breadth and depth of the educational experience.