Channel Codes

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Release : 2009-09-17
Genre : Technology & Engineering
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Book Rating : 013/5 ( reviews)

Channel Codes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Channel Codes write by William Ryan. This book was released on 2009-09-17. Channel Codes available in PDF, EPUB and Kindle. Channel 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.

Polar Codes

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Release : 2018-06-08
Genre : Technology & Engineering
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Book Rating : 377/5 ( reviews)

Polar Codes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Polar Codes write by Orhan Gazi. This book was released on 2018-06-08. Polar Codes available in PDF, EPUB and Kindle. This 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.

Joint Source Channel Coding Using Arithmetic Codes

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Release : 2022-06-01
Genre : Technology & Engineering
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Book Rating : 750/5 ( reviews)

Joint Source Channel Coding Using Arithmetic Codes - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Joint Source Channel Coding Using Arithmetic Codes write by Bi Dongsheng. This book was released on 2022-06-01. Joint Source Channel Coding Using Arithmetic Codes available in PDF, EPUB and Kindle. Based on the encoding process, arithmetic codes can be viewed as tree codes and current proposals for decoding arithmetic codes with forbidden symbols belong to sequential decoding algorithms and their variants. In this monograph, we propose a new way of looking at arithmetic codes with forbidden symbols. If a limit is imposed on the maximum value of a key parameter in the encoder, this modified arithmetic encoder can also be modeled as a finite state machine and the code generated can be treated as a variable-length trellis code. The number of states used can be reduced and techniques used for decoding convolutional codes, such as the list Viterbi decoding algorithm, can be applied directly on the trellis. The finite state machine interpretation can be easily migrated to Markov source case. We can encode Markov sources without considering the conditional probabilities, while using the list Viterbi decoding algorithm which utilizes the conditional probabilities. We can also use context-based arithmetic coding to exploit the conditional probabilities of the Markov source and apply a finite state machine interpretation to this problem. The finite state machine interpretation also allows us to more systematically understand arithmetic codes with forbidden symbols. It allows us to find the partial distance spectrum of arithmetic codes with forbidden symbols. We also propose arithmetic codes with memories which use high memory but low implementation precision arithmetic codes. The low implementation precision results in a state machine with less complexity. The introduced input memories allow us to switch the probability functions used for arithmetic coding. Combining these two methods give us a huge parameter space of the arithmetic codes with forbidden symbols. Hence we can choose codes with better distance properties while maintaining the encoding efficiency and decoding complexity. A construction and search method is proposed and simulation results show that we can achieve a similar performance as turbo codes when we apply this approach to rate 2/3 arithmetic codes. Table of Contents: Introduction / Arithmetic Codes / Arithmetic Codes with Forbidden Symbols / Distance Property and Code Construction / Conclusion

Channel Coding in Communication Networks

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Release : 2013-03-01
Genre : Technology & Engineering
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Book Rating : 635/5 ( reviews)

Channel Coding in Communication Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Channel Coding in Communication Networks write by Alain Glavieux. This book was released on 2013-03-01. Channel Coding in Communication Networks available in PDF, EPUB and Kindle. This book provides a comprehensive overview of the subject of channel coding. It starts with a description of information theory, focusing on the quantitative measurement of information and introducing two fundamental theorems on source and channel coding. The basics of channel coding in two chapters, block codes and convolutional codes, are then discussed, and for these the authors introduce weighted input and output decoding algorithms and recursive systematic convolutional codes, which are used in the rest of the book. Trellis coded modulations, which have their primary applications in high spectral efficiency transmissions, are then covered, before the discussion moves on to an advanced coding technique called turbocoding. These codes, invented in the 1990s by C. Berrou and A. Glavieux, show exceptional performance. The differences between convolutional turbocodes and block turbocodes are outlined, and for each family, the authors present the coding and decoding techniques, together with their performances. The book concludes with a chapter on the implementation of turbocodes in circuits. As such, anyone involved in the areas of channel coding and error correcting coding will find this book to be of invaluable assistance.

Channel Coding Techniques for Wireless Communications

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Release : 2019-11-22
Genre : Mathematics
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Book Rating : 616/5 ( reviews)

Channel Coding Techniques for Wireless Communications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Channel Coding Techniques for Wireless Communications write by K. Deergha Rao. This book was released on 2019-11-22. Channel Coding Techniques for Wireless Communications available in PDF, EPUB and Kindle. This 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.