深入浅出通信原理epub/mobi/azw3全套下载

weixin_39821228 2020-07-01 08:00:32
整套资源包含3种书籍格式:epub/mobi/azw3,是官方正版购买,分享给大家

通信人家园论坛总点击量800万的神帖,七年磨一剑
被网友称为通信界的《明朝那些事儿》
与《大话通信》《大话无线通信》《大话移动通信》一样基础全面!

本书的主要内容源于作者在通信人家园上的“深入浅出通信原理”系列连载,汇编成为继承了连载图文并茂、深入浅出、理论联系实际的特点,并在连载内容的基础上进行了补充和完善。
作者从信号和频谱讲起,以通信模型为主线,对信道、信源编码、信道编码和交织、脉冲成形、调制、天线技术、复用和多址技术等做了系统讲解。
本书针对真正希望搞清楚通信原理的读者编写,适用于高等院校
相关下载链接://download.csdn.net/download/jingxdu/11081725?utm_source=bbsseo
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R Data Structures and Algorithms English | 21 Nov. 2016 | ISBN: 1786465159 | 276 Pages | AZW3/MOBI/EPUB/PDF (conv) | 39.49 MB Increase speed and performance of your applications with efficient data structures and algorithms About This Book See how to use data structures such as arrays, stacks, trees, lists, and graphs through real-world examples Find out about important and advanced data structures such as searching and sorting algorithms Understand important concepts such as big-o notation, dynamic programming, and functional data structured Who This Book Is For This book is for R developers who want to use data structures efficiently. Basic knowledge of R is expected. What You Will Learn Understand the rationality behind data structures and algorithms Understand computation evaluation of a program featuring asymptotic and empirical algorithm analysis Get to know the fundamentals of arrays and linked-based data structures Analyze types of sorting algorithms Search algorithms along with hashing Understand linear and tree-based indexing Be able to implement a graph including topological sort, shortest path problem, and Prim's algorithm Understand dynamic programming (Knapsack) and randomized algorithms In Detail In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the fundamentals of data structures, such as lists, stacks, queues, and dictionaries, using real-world examples. We also cover topics such as indexing, sorting, and searching in depth. Later on, you will be exposed to advanced topics such as graph data structures, dynamic programming, and randomized algorithms. You will come to appreciate the intricacies of high performance and scalable programming using R. We also cover special R data structures such as vectors, data frames, and atomic vectors. With this easy-to-read book, you will be able to understand the power of linked lists, double linked lists, and circular linked lists. We will also explore the application of binary search and will go in depth into sorting algorithms such as bubble sort, selection sort, insertion sort, and merge sort. Style and approach This easy-to-read book with its fast-paced nature will improve the productivity of an R programmer and improve the performance of R applications. It is packed with real-world examples.

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