Sequential Iterative Decoding of Concatenated Recursive Systematic Convolutional Codes PDF Download

Author: Ravi Sivasankaran
Publisher:
ISBN:
Category : Intelligent control systems
Languages : en
Pages : 318

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Author: Rolf Johannesson
Publisher: John Wiley & Sons
ISBN: 0470276835
Category : Technology & Engineering
Languages : en
Pages : 686

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Book Description
Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes Distance properties of convolutional codes Includes a downloadable solutions manual

Author: Dana Nazir Dannan
Publisher:
ISBN:
Category :
Languages : en
Pages : 178

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Serially Concatenated Codes, a concept building on classical concatenated codes and parallel concatenated codes known as "Turbo Codes", have been studied for ma ny years. One of the most important forms of serial concatenated codes that was first discovered by Forney [14], consists of a simple convolutional code as an inner c ode and a Reed_ Solomon code as an outer code, and the decoding for this coding scheme is done sequentially, using each decoder once. In this thesis, other powerful linear block codes such as Hamming and BCH codes were considered. Simulations were done for three models with and without an inte rleaver and for different block lengths. Comparative study of the three models w as done in order to find out how the block code may affect the performance. The simulation results showed that both Hamming and BCH codes give the same performa nce for the same values of Energy bit to Noise ratio (EbNo), but a Reed_ Solomon model gives a good performance. In the second part of the thesis, other ways of serial poncatenations were appli ed but here the used decoder will be changed from sequential decoder into iterat ive decoder. The new iterative decoder consists of an outer (SISO), and an inner block decode r that corresponds to the used block encoder, simulation results showed a very b ad performance comparing to the previous models. A new way of serial concatenati on was done, by connecting a block encoder serially to an (SCCC) in the encoder side, and for the decoder side, a block decoder was serially connected to the it erative decoder. Simulation results showed that the new way of concatenating gives a very good performance comparing to the first models for different block codes. Important comparisons were also done in order to see the effect of the block codes when they are modified to a S erial Concatenated Convolutional Codes (SCCCs). Results showed that both Hamming and BCH codes give approximately same performance that is obtained by the equiv alent (SCCC). But when using the Reed_ Solomon code, a very good performance was achieved comparing to all other models, even when compared to Serial Concatenat ed Convolutional Code (SCCC).

Author: Dongsheng Bi
Publisher: Morgan & Claypool Publishers
ISBN: 1608451488
Category : Computers
Languages : en
Pages : 78

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Proposes 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 modelled 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 can be applied directly on the trellis.

Author: Ajay Dholakia
Publisher: Springer Science & Business Media
ISBN: 9780792394679
Category : Computers
Languages : en
Pages : 272

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Book Description
A novel application of fast decodable invertible convolutional codes for lost packet recovery in high speed networks is described. This opens the door for using convolutional coding for error recovery in high speed networks.

Author: Chris Heegard
Publisher: Springer Science & Business Media
ISBN: 9780792383789
Category : Computers
Languages : en
Pages : 240

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Book Description
Turbo Coding presents a unified view of the revolutionary field of turbo error control coding, summarizing recent results in the areas of encoder structure and performance analysis. The book also introduces new material, including a general theory for the analysis and design of interleavers, and a unified framework for the analysis and design of decoding algorithms. Turbo Coding explains the basics of turbo error control coding in a straightforward manner, while making its potential impact on the design of digital communication systems as clear as possible. Chapters have been provided on the structure and performance of convolutional codes, interleaver design, and the structure and function of iterative decoders. The book also provides insight into the theory that underlies turbo error control, and briefly summarizes some of the ongoing research efforts. Recent efforts to develop a general theory that unites the Viterbi and BCJR algorithms are discussed in detail. A chapter is provided on the newly discovered connection between iterative decoding and belief propagation in graphs, showing that this leads to parallel algorithms that outperform currently used turbo decoding algorithms. Turbo Coding is a primary resource for both researchers and teachers in the field of error control coding.

Author: Stephen B. Wicker
Publisher: Springer Science & Business Media
ISBN: 0306477947
Category : Technology & Engineering
Languages : en
Pages : 241

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Book Description
Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.

Author: Grigorii Kabatiansky
Publisher: John Wiley & Sons
ISBN: 0470867566
Category : Technology & Engineering
Languages : en
Pages : 288

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Book Description
Error correcting coding is often analyzed in terms of its application to the separate levels within the data network in isolation from each other. In this fresh approach, the authors consider the data network as a superchannel (a multi-layered entity) which allows error correcting coding to be evaluated as it is applied to a number of network layers as a whole. By exposing the problems of applying error correcting coding in data networks, and by discussing coding theory and its applications, this original technique shows how to correct errors in the network through joint coding at different network layers. Discusses the problem of reconciling coding applied to different layers using a superchannel approach Includes thorough coverage of all the key codes: linear block codes, Hamming, BCH and Reed-Solomon codes, LDPC codes decoding, as well as convolutional, turbo and iterative coding Considers new areas of application of error correcting codes such as transport coding, code-based cryptosystems and coding for image compression Demonstrates how to use error correcting coding to control such important data characteristics as mean message delay Provides theoretical explanations backed up by numerous real-world examples and practical recommendations Features a companion website containing additional research results including new constructions of LDPC codes, joint error-control coding and synchronization, Reed-Muller codes and their list decoding By progressing from theory through to practical problem solving, this resource contains invaluable advice for researchers, postgraduate students, engineers and computer scientists interested in data communications and applications of coding theory.

Author: Chuan Hsian Pu
Publisher: LAP Lambert Academic Publishing
ISBN: 9783838316581
Category : Coding theory
Languages : en
Pages : 148

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In the past few decades, many forward error correction (FEC) codes have been proposed to improve the performance of digital communication systems. The problem involving many conventional FEC techniques are that the complexity and cost of such coding systems usually increase dramatically with respect to the attainable coding gain. The author focused on the study of the concatenated convolutional codes and their iterative decoding methodologies. Parallel concatenated convolutional codes (PCCC) and serial convolutional concatenated codes (SCCC) are studied to explore their potentiality to approximate Shannon s channel capacity with feasible complexity. Simulation are performed on PCCC and SCCC to understand the performance of the mentioned coding schemes in various circumstances and enables reseaerchers, academicians to fully exploit the potential of such coding schemes for future 4G communication system requirements.

Author: Kim Swan Tan
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages :

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