Algebraic and Combinatorial Constructions of Low-density Parity-check Codes PDF Download
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Author: Ivana Djurdjevic
Publisher:
ISBN:
Category :
Languages : en
Pages : 320
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Author: Ivana Djurdjevic
Publisher:
ISBN:
Category :
Languages : en
Pages : 320
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Author: Matthew T. Koetz
Publisher:
ISBN:
Category :
Languages : en
Pages : 126
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Author: Lei Chen
Publisher:
ISBN:
Category :
Languages : en
Pages : 340
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Author: Marc Fossorier
Publisher: Springer
ISBN: 3540448284
Category : Mathematics
Languages : en
Pages : 275
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Book Description
This book constitutes the refereed proceedings of the 15th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, AAECC-15, held in Toulouse, France, in May 2003.The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 40 submissions. Among the subjects addressed are block codes; algebra and codes: rings, fields, and AG codes; cryptography; sequences; decoding algorithms; and algebra: constructions in algebra, Galois groups, differential algebra, and polynomials.
Author: Qiuju Diao
Publisher:
ISBN: 9781303442414
Category :
Languages : en
Pages :
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Book Description
The ever-growing needs for cheaper, faster, and more reliable communication systems have forced many researchers to seek means to attain the ultimate limits on reliable communications. Low densityparity-check (LDPC) codes are currently the most promising coding technique to achieve the Shannon capacities for a wide range of channels. Many LDPC codes have been chosen as the standard codes for various next generations of communication systems and they are appearing in recent data storage products. More applications are expected to come.Major methods for constructing LDPC codes can be divided into two general categories, graphtheoretic-based methods (using computer search) and algebraic methods. Each type of constructions has its advantages and disadvantages in terms overall error performance, encoding and decoding implementations. In general, algebraically constructed LDPC codes have lower error-floor and their decoding using iterative message-passing algorithms converges at a much faster rate than the LDPC codes constructed using a graph theoretic-based method. Furthermore, it is much easier to constructalgebraic LDPC codes with large minimum distances.This research project is set up to investigate several important aspects of algebraic LDPC codes for the purpose of achieving overall good error performance required for future high-speed communication systems and high-density data storage systems. The subjects to be investigated include: (1) new constructions of algebraic LDPC codes based on finite geometries; (2) analysis of structural properties of algebraic LDPC codes, especially the trapping set structure that determines how lowthe error probability of a given LDPC code can achieve; (3) construction of algebraic LDPC codes and design coding techniques for correcting combinations of random errors and erasures that occursimultaneously in many physical communication and storage channels; and (4) analysis and construction of algebraic LDPC codes in transform domain.Research effort has resulted in important findings in all four proposed research subjects which may have a significant impact on future generations of communication and storage systems andadvance the state-of-the-art of channel coding theory.
Author: Bo Zhou
Publisher:
ISBN:
Category :
Languages : en
Pages : 292
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Author: Juane Li
Publisher: Cambridge University Press
ISBN: 1107175682
Category : Computers
Languages : en
Pages : 259
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In this book, leading authorities unify algebraic- and graph-based LDPC code designs and constructions into a single theoretical framework.
Author: Keke Liu
Publisher:
ISBN: 9781321806663
Category :
Languages : en
Pages :
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Book Description
The algebraic low-density parity-check (LDPC) codes have received great attention in the practical applications to communication and data storage systems due to their fruitful structural properties and excellent overall performances. This dissertation investigates the following topics regarding the construction, analysis and decoding of the algebraic LDPC codes.The first contribution is a comprehensive rank analysis of the algebraic quasi-cyclic (QC) LDPC (QC-LDPC) codes constructed based on two arbitrary subsets of a finite field, which generalizes the rank analysis results in the previous literature. Also investigated is a flexible algebraic construction of QC-LDPC codes with large row redundancy based on field partitions. This construction results in a large class of binary regular QC-LDPC codes with flexible choices of rates and lengths that are shown to perform well over the additive white Gaussian noise (AWGN) channel. Secondly, to resolve the issue of decoder complexity caused by relatively high density of the parity-check matrices of algebraic LDPC codes, an effective revolving iterative decoding (RID) scheme is developed for algebraic cyclic and QC-LDPC codes. The proposed RID scheme significantly reduces the hardware implementation complexities. Also presented is a variation of the RID scheme, called merry-go-round (MGR) decoding scheme, which maintains the circulant permutation matrix (CPM) structure that is desirable for the hardware implementation but lost in the RID scheme, while preserving the merits of reducing decoder complexity. The proposed RID and MGR decoding schemes may enhance the applications of algebraic LDPC codes.Lastly, a general algebraic construction of QC-LDPC convolutional codes, also called spatially coupled (SC) QC-LDPC codes, is proposed. Simulation results show that the constructed algebraic SC-QC-LDPC codes can outperform their non-algebraic counterparts. Also investigated is the rate compatibility of the constructed SC-QC-LDPC codes using the regular puncturing scheme.
Author: Martin Tomlinson
Publisher: Springer
ISBN: 3319511033
Category : Technology & Engineering
Languages : en
Pages : 527
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Book Description
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors’ twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems. Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes. Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of th ese codes. Part IV deals with decoders designed to realize optimum performance. Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking. This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This book is open access under a CC BY 4.0 license.
Author: National Aeronautics and Space Adm Nasa
Publisher:
ISBN: 9781723736247
Category :
Languages : en
Pages : 36
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Book Description
Low density parity check (LDPC) codes with iterative decoding based on belief propagation achieve astonishing error performance close to Shannon limit. No algebraic or geometric method for constructing these codes has been reported and they are largely generated by computer search. As a result, encoding of long LDPC codes is in general very complex. This paper presents two classes of high rate LDPC codes whose constructions are based on finite Euclidean and projective geometries, respectively. These classes of codes a.re cyclic and have good constraint parameters and minimum distances. Cyclic structure adows the use of linear feedback shift registers for encoding. These finite geometry LDPC codes achieve very good error performance with either soft-decision iterative decoding based on belief propagation or Gallager's hard-decision bit flipping algorithm. These codes can be punctured or extended to obtain other good LDPC codes. A generalization of these codes is also presented.Kou, Yu and Lin, Shu and Fossorier, MarcGoddard Space Flight CenterEUCLIDEAN GEOMETRY; ALGORITHMS; DECODING; PARITY; ALGEBRA; INFORMATION THEORY; PROJECTIVE GEOMETRY; TWO DIMENSIONAL MODELS; COMPUTERIZED SIMULATION; ERRORS; BLOCK DIAGRAMS...
