The field of digital communication has evolved rapidly in the past few decades, with commercial applications proliferating in wireline communi- cation networks (e.g., digital subscriber loop, cable, fiber optics), wireless communication (e.g., cell phones and wireless local area networks), and stor- age media (e.g., compact discs, hard drives). The typical undergraduate and graduate student is drawn to the field because of these applications, but is often intimidated by the mathematical background necessary to understand communication theory.
標(biāo)簽： Communication Fundamentals Digital of
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
OSCILLATORS are key building blocks in integrated transceivers. In wired and wireless communication terminals, the receiver front-end selects, amplifies and converts the desired high-frequency signal to baseband. At baseband the signal can then be converted into the digital domain for further data processing and demodula- tion. The transmitter front-end converts an analog baseband signal to a suitable high- frequency signal that can be transmitted over the wired or wireless channel.
標(biāo)簽： High-Frequency Oscillator Design
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog beamforming networks (ABFN) as a bank of commonly used RF components and formulate realistic model constraints based on their S-parameters. Specifically, we concentrate on fully-connected ABFN (FC-ABFN) and Butler networks for implementing the discrete Fourier transform (DFT) in the RF domain. The results presented in this paper reveal that the performance and energy efficiency of hybrid precoding systems are severely affected, once practical factors are considered in the overall design. In this context, we also show that Butler RF networks are capable of providing better performances than FC-ABFN for systems with a large number of RF chains.
標(biāo)簽： Analog-Digital Precoding Hybrid
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
Multi-carrier modulation? Orthogonal Frequency Division Multi- plexing (OFDM) particularly? has been successfully applied to a wide variety of digital communications applications over the past several years. Although OFDM has been chosen as the physical layer standard for a diversity of important systems? the theory? algorithms? and implementation techniques remain subjects of current interest. This is clear from the high volume of papers appearing in technical journals and conferences.
標(biāo)簽： COMMUNICATIONS MULTI-CARRIER DIGITAL
上傳時(shí)間： 2020-05-31
上傳用戶(hù)：shancjb
This book stems from its ancestor Digital Transmission Theory,published by Prentice-Hall in 1987 and now out of print. Following the suggestion of several colleagues who complained about the unavailability of a textbook they liked and adopted in their courses, laying a strong emphasis on wireless communication. We hope that those who liked the previous book will find again its flavor here,while new reader, untouched by nostalgia, will judge it favorably.
標(biāo)簽： Transmission Principles Digital of
上傳時(shí)間： 2020-05-31
上傳用戶(hù)：shancjb
In this book, we present the basic pinciples that underlie the analysis and design of digital communication system.The subject of digital communications involves the transmission of information in digital form from a source that generates the information to one or more destinations.
標(biāo)簽： J.G. Communications Proakis Digital
上傳時(shí)間： 2020-05-31
上傳用戶(hù)：shancjb
Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Excit- ing theoretical advances, complemented by rapid transition of research results to industry products and services, have created a vibrant and growing area that is already established by all counts. This offers a good opportunity to reflect on key developments in the area during the past decade and also outline emerging trends.
標(biāo)簽： Space-Time Processing
上傳時(shí)間： 2020-06-01
上傳用戶(hù)：shancjb
The digital dilemma: Telecoms fi rms prepare for the future is an Economist Intelligence Unit (EIU) report commissioned by WIPRO. The report strives to identify the key issues that companies within the telecoms sector are facing as they attempt to reshape their businesses to compete in a more digitised world.
上傳時(shí)間： 2020-06-01
上傳用戶(hù)：shancjb
Digital radios have undergone an astonishing evolution in the last century. Born as a set of simple and power-hungry electrical and electromechanical devices for low data rate transmission of telegraph data in the Marconi age, they have transformed, thanks to substantial advances in electronic technology, into a set of small, reliable and sophisticated integrated devices supporting broadband multimedia communications. This, however, would not have been possible unless significant progress had been made in recent decades in the field of signal processing algorithms for baseband and passband signals. In fact, the core of any modern digital radio consists of a set of algorithms running over programmable electronic hardware. This book stems from the research and teaching activities of its co-authors in the field of algorithmic techniques for wireless communications. A huge body of technical literature has accumulated in the last four decades in this area, and an extensive coverage of all its important aspects in a single textbook is impossible. For this reason, we have selected a few important topics and, for ease of reading, organized them into two parts.
標(biāo)簽： Communications Algorithmic Techniques Wireless
上傳時(shí)間： 2020-06-01
上傳用戶(hù)：shancjb
Identification is pervasive nowadays in daily life due to many complicated activities such as bank and library card reading, asset tracking, toll collecting, restricted access to sensitive data and procedures and target identification. This kind of task can be realized by passwords, bio- metric data such as fingerprints, barcode, optical character recognition, smart cards and radar. Radiofrequencyidentification(RFID)isatechniquetoidentifyobjectsbyusingradiosystems. It is a contactless, usually short distance, wireless data transmission and reception technique for identification of objects. An RFID system consists of two components: the tag (also called transponder) and the reader (also called interrogator).
標(biāo)簽： Processing Digital Signal RFID for
上傳時(shí)間： 2020-06-08
上傳用戶(hù)：shancjb
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