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Author: Eren Şaşoǧlu
Publisher: Now Pub
Published: 2012
Total Pages: 136
ISBN-13: 9781601985965
DOWNLOAD EBOOKPolarization and Polar Codes: A Tutorial is the first in-depth tutorial on this exciting new technique that promises to offer major improvements in digital communications systems."
Author: Orhan Gazi
Publisher: Springer
Published: 2018-06-08
Total Pages: 174
ISBN-13: 9811307377
DOWNLOAD EBOOKThis book explains the philosophy of the polar encoding and decoding technique. Polar codes are one of the most recently discovered capacity-achieving channel codes. What sets them apart from other channel codes is the fact that polar codes are designed mathematically and their performance is mathematically proven. The book develops related fundamental concepts from information theory, such as entropy, mutual information, and channel capacity. It then explains the successive cancellation decoding logic and provides the necessary formulas, moving on to demonstrate the successive cancellation decoding operation with a tree structure. It also demonstrates the calculation of split channel capacities when polar codes are employed for binary erasure channels, and explains the mathematical formulation of successive cancellation decoding for polar codes. In closing, the book presents and proves the channel polarization theorem, before mathematically analyzing the performance of polar codes.
Author: Fa-Long Luo
Publisher: John Wiley & Sons
Published: 2020-02-10
Total Pages: 490
ISBN-13: 1119562252
DOWNLOAD EBOOKA comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Author: Pascal Giard
Publisher: Springer
Published: 2017-08-30
Total Pages: 108
ISBN-13: 3319597825
DOWNLOAD EBOOKA new class of provably capacity achieving error-correction codes, polar codes are suitable for many problems, such as lossless and lossy source coding, problems with side information, multiple access channel, etc. The first comprehensive book on the implementation of decoders for polar codes, the authors take a tutorial approach to explain the practical decoder implementation challenges and trade-offs in either software or hardware. They also demonstrate new trade-offs in latency, throughput, and complexity in software implementations for high-performance computing and GPGPUs, and hardware implementations using custom processing elements, full-custom application-specific integrated circuits (ASICs), and field-programmable-gate arrays (FPGAs). Presenting a good overview of this research area and future directions, High-Speed Decoders for Polar Codes is perfect for any researcher or SDR practitioner looking into implementing efficient decoders for polar codes, as well as students and professors in a modern error correction class. As polar codes have been accepted to protect the control channel in the next-generation mobile communication standard (5G) developed by the 3GPP, the audience includes engineers who will have to implement decoders for such codes and hardware engineers designing the backbone of communication networks.
Author: Ivana Marić
Publisher:
Published: 2022-06-15
Total Pages: 768
ISBN-13: 1108271367
DOWNLOAD EBOOKUnderstand key information-theoretic principles that underpin the design of next-generation cellular systems with this invaluable resource. This book is the perfect tool for researchers and graduate students in the field of information theory and wireless communications, as well as for practitioners in the telecommunications industry.
Author: Pierre Duhamel
Publisher: Academic Press
Published: 2009-11-26
Total Pages: 337
ISBN-13: 0080922449
DOWNLOAD EBOOK- Treats joint source and channel decoding in an integrated way - Gives a clear description of the problems in the field together with the mathematical tools for their solution - Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks Traditionally, cross-layer and joint source-channel coding were seen as incompatible with classically structured networks but recent advances in theory changed this situation. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account. A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others. This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles. Typical applications are broadcasting, or point-to-point delivery of multimedia contents, which are very timely in the context of the current development of mobile services such as audio (MPEG4 AAC) or video (H263, H264) transmission using recent wireless transmission standards (DVH-H, DVB-SH, WiMAX, LTE). This cross-disciplinary book is ideal for graduate students, researchers, and more generally professionals working either in signal processing for communications or in networking applications, interested in reliable multimedia transmission. This book is also of interest to people involved in cross-layer optimization of mobile networks. Its content may provide them with other points of view on their optimization problem, enlarging the set of tools which they could use. Pierre Duhamel is director of research at CNRS/ LSS and has previously held research positions at Thomson-CSF, CNET, and ENST, where he was head of the Signal and Image Processing Department. He has served as chairman of the DSP committee and associate Editor of the IEEE Transactions on Signal Processing and Signal Processing Letters, as well as acting as a co-chair at MMSP and ICASSP conferences. He was awarded the Grand Prix France Telecom by the French Science Academy in 2000. He is co-author of more than 80 papers in international journals, 250 conference proceedings, and 28 patents. Michel Kieffer is an assistant professor in signal processing for communications at the Université Paris-Sud and a researcher at the Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, France. His research interests are in joint source-channel coding and decoding techniques for the reliable transmission of multimedia contents. He serves as associate editor of Signal Processing (Elsevier). He is co-author of more than 90 contributions to journals, conference proceedings, and book chapters. - Treats joint source and channel decoding in an integrated way - Gives a clear description of the problems in the field together with the mathematical tools for their solution - Contains many detailed examples useful for practical applications of the theory to video broadcasting over mobile and wireless networks
Author: Ezra Klein
Publisher: Simon and Schuster
Published: 2020-01-28
Total Pages: 208
ISBN-13: 1476700397
DOWNLOAD EBOOKONE OF BARACK OBAMA’S FAVORITE BOOKS OF 2022 One of Bill Gates’s “5 books to read this summer,” this New York Times and Wall Street Journal bestseller shows us that America’s political system isn’t broken. The truth is scarier: it’s working exactly as designed. In this “superbly researched” (The Washington Post) and timely book, journalist Ezra Klein reveals how that system is polarizing us—and how we are polarizing it—with disastrous results. “The American political system—which includes everyone from voters to journalists to the president—is full of rational actors making rational decisions given the incentives they face,” writes political analyst Ezra Klein. “We are a collection of functional parts whose efforts combine into a dysfunctional whole.” “A thoughtful, clear and persuasive analysis” (The New York Times Book Review), Why We’re Polarized reveals the structural and psychological forces behind America’s descent into division and dysfunction. Neither a polemic nor a lament, this book offers a clear framework for understanding everything from Trump’s rise to the Democratic Party’s leftward shift to the politicization of everyday culture. America is polarized, first and foremost, by identity. Everyone engaged in American politics is engaged, at some level, in identity politics. Over the past fifty years in America, our partisan identities have merged with our racial, religious, geographic, ideological, and cultural identities. These merged identities have attained a weight that is breaking much in our politics and tearing at the bonds that hold this country together. Klein shows how and why American politics polarized around identity in the 20th century, and what that polarization did to the way we see the world and one another. And he traces the feedback loops between polarized political identities and polarized political institutions that are driving our system toward crisis. “Well worth reading” (New York magazine), this is an “eye-opening” (O, The Oprah Magazine) book that will change how you look at politics—and perhaps at yourself.
Author: K. Deergha Rao
Publisher: Springer Nature
Published: 2019-11-22
Total Pages: 484
ISBN-13: 9811505616
DOWNLOAD EBOOKThis book discusses the latest channel coding techniques, MIMO systems, and 5G channel coding evolution. It provides a comprehensive overview of channel coding, covering modern techniques such as turbo codes, low-density parity-check (LDPC) codes, space–time coding, polar codes, LT codes, and Raptor codes as well as the traditional codes such as cyclic codes, BCH, RS codes, and convolutional codes. It also explores MIMO communications, which is an effective method for high-speed or high-reliability wireless communications. It also examines the evolution of 5G channel coding techniques. Each of the 13 chapters features numerous illustrative examples for easy understanding of the coding techniques, and MATLAB-based programs are integrated in the text to enhance readers’ grasp of the underlying theories. Further, PC-based MATLAB m-files for illustrative examples are included for students and researchers involved in advanced and current concepts of coding theory.
Author: IEEE Staff
Publisher:
Published: 2021-07-12
Total Pages:
ISBN-13: 9781538682104
DOWNLOAD EBOOKISIT is the premier international conference dedicated to the advancement of information theory and related areas It brings together an international community of researchers and practitioners each year in the field of information theory to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding information theory, signal processing, and statistical machine learning
Author: William Ryan
Publisher: Cambridge University Press
Published: 2009-09-17
Total Pages: 709
ISBN-13: 1139483013
DOWNLOAD EBOOKChannel coding lies at the heart of digital communication and data storage, and this detailed introduction describes the core theory as well as decoding algorithms, implementation details, and performance analyses. In this book, Professors Ryan and Lin provide clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes. They also present detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, and product codes, providing a one-stop resource for both classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design. 250 varied and stimulating end-of-chapter problems are also included to test and enhance learning, making this an essential resource for students and practitioners alike.
