出版日期: 2013年12月5日 This book is an in-depth, systematic and structured technical reference on 3GPP's LTE-Advanced (Releases 10 and 11), covering theory, technology and implementation, written by an author who has been involved in the inception and development of these technologies for over 20 years. The book not only describes the operation of individual components, but also shows how they fit into the overall system and operate from a systems perspective. Uniquely, this book gives in-depth information on upper protocol layers, implementation and deployment issues, and services, making it suitable for engineers who are implementing the technology into future products and services. Reflecting the author's 25 plus years of experience in signal processing and communication system design, this book is ideal for professional engineers, researchers, and graduate students working in cellular communication systems, radio air-interface technologies, cellular communications protocols, advanced radio access technologies for beyond 4G systems, and broadband cellular standards. Features: an end-to-end description of LTE/LTE-Advanced technologies using a top-down systems approach, providing an in-depth understanding of how the overall system works; detailed algorithmic descriptions of the individual components' operation and inter-connection; strong emphasis on implementation and deployment scenarios, making this a very practical book; an in-depth coverage of theoretical and practical aspects of LTE Releases 10 and 11; and clear and concise descriptions of the underlying principles and theoretical concepts to provide a better understanding of the operation of the system's components. It covers all essential system functionalities, features, and their inter-connections based on a clear protocol structure, including detailed signal flow graphs and block diagrams. It includes methodologies and results related to link-level and system-level evaluations of LTE-Advanced. It provides understanding and insight into the advanced underlying technologies in LTE-Advanced up to and including Release 11: multi-antenna signal processing, OFDM, carrier aggregation, coordinated multi-point transmission and reception, eICIC, multi-radio coexistence, E-MBMS, positioning methods, real-time and non-real-time wireless multimedia applications.
2019-12-21 22:05:41 24.59MB LTE-Advanced
1
Gerald Farin编写的CAGD领域的曲线和曲面的权威著作,有目录
2019-12-21 21:59:48 17.12MB CAGD
1
今天终于把这本书找到了,要学微分进化(Differential Evolution)算法的必备看书,写得非常好,Kenneth V. Price · Rainer M. Storn编著,只要学微分进化算法的必备用书
1
ssd7 exam2 Practical + choice 包含完整答案及解析以及题目,含有标准的 Multiple-Choice 答案。绝对值!
2019-12-21 21:55:51 29KB ssd7 exam2 Practical +
1
很好的一本语法分析技术的理论书,该书为第一版,讨论了许多常见和特殊的分析技术。该书为文字预印版,pdf中文字可直接复制。也可直接打印成册。
2019-12-21 21:55:38 1.33MB 编译原理 分析技术 词法分析 语法分析
1
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience By 作者: Vladimir Silva ISBN-10 书号: 1484242173 ISBN-13 书号: 9781484242179 Edition 版本: 1st ed. 出版日期: 2018-12-13 pages 页数: (358 ) Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers discusses quantum computing in the cloud using IBM Q Experience including: the composer, quantum scores, experiments, circuits, simulators, real quantum devices, and more. You’ll be able to run experiments in the cloud on a real quantum device. Furthermore, this book shows you how to do quantum programming using the QISKit (Quantum Information Software Kit), Python SDK, and other APIs such as QASM (Quantum Assembly). You’ll learn to write code using these languages and execute it against simulators (local or remote) or a real quantum computer provided by IBM’s Q Experience. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others. You’ll peak inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Along the way you’ll also cover game theory with the Magic Square, an example of quantum pseudo-telepathy where parties sharing entangled states can be observed to have some kind of communication between them. In this game Alice and Bob play against a referee. Quantum mechanics allows Alice and Bob to always win! By the end of this book, you will understand how this emerging technology provides massive parallelism and significant computational speedups over classical computers, and wi
2019-12-21 21:49:51 10.87MB Python
1
两本很薄的英文书,懂的自然懂
2019-12-21 21:37:47 25.42MB Python OpenCV
1
自适应滤波算法与实现(第四版),英文版,Paulo S. R. Diniz,2013
2019-12-21 21:36:20 11.46MB Adaptive Filtering Algorithms
1
Practical Optimization》,最优化领域的经典教材。
2019-12-21 21:35:42 3.96MB Practical Op
1
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points. Graphs arise in a wealth of data scenarios and describe the connections that are naturally formed in both digital and real worlds. Examples of such connections abound in online social networks such as Facebook and Twitter, among users who rate movies from services like Netflix and Amazon Prime, and are useful even in the context of biological networks for scientific research. Whether in the context of business or science, viewing data as connected adds value by increasing the amount of information available to be drawn from that data and put to use in generating new revenue or scientific opportunities. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph is now a top top-level project at the Apache Foundation, and it enlists contributors from companies such as Facebook, LinkedIn, and Twitter.
2019-12-21 21:32:05 8.88MB Practical Graph Analytics Apache
1