Iterative Error Correction

Turbo, Low-Density Parity-Check and Repeat-Accumulate Codes

Author: Sarah J. Johnson

Publisher: Cambridge University Press

ISBN: 0521871484

Category: Mathematics

Page: 335

View: 6531


Presents all of the key ideas needed to understand, design, implement and analyse iterative-based error correction schemes.

Channel Coding: Theory, Algorithms, and Applications

Academic Press Library in Mobile and Wireless Communications

Author: N.A

Publisher: Academic Press

ISBN: 012397223X

Category: Technology & Engineering

Page: 690

View: 3767


This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel Coding, including theory, algorithms, and applications. Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applications Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in Channel Coding Presents core principles in Channel Coding theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge

Advances in Computational Intelligence

15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings

Author: Ignacio Rojas

Publisher: Springer

ISBN: 3030205185

Category: Artificial intelligence

Page: 926

View: 1066


This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics.

Coding and Signal Processing for Magnetic Recording Systems

Author: Bane Vasic,Erozan M. Kurtas

Publisher: CRC Press

ISBN: 0203490312

Category: Computers

Page: 700

View: 9037


Rapid advances in recording materials, read/write heads, and mechanical designs over the last 15 years have led to the need for more complicated signal processing, coding, and modulation algorithms for the hard disk drive "read channel." Today, the challenges in implementing new architectures and designs for the read channel have been pushed to the limits of modern integrated circuit manufacturing technology. Coding and Signal Processing for Magnetic Recording Systems reviews advanced coding and signal processing techniques and architectures for magnetic recording read channels. Beginning with the basic principles of magnetic recording, it examines read/write operations, data organization, head positioning, sensing, timing recovery, data detection, and error correction. It also provides an in-depth treatment of all recording channel subsystems inside a read channel and hard disk drive controller. The final section reviews new trends in coding, particularly iterative decoding and codes under investigation for recording channels. Thoroughly up to date and featuring contributions from top researchers in the field, this book offers a unique opportunity to build a solid foundation in detection, coding, timing recovery, and servo systems for magnetic recording systems. It provides both the theoretical tools for analyzing recording systems as well as insight into practical, feasible solutions.

Error-Correction Coding and Decoding

Bounds, Codes, Decoders, Analysis and Applications

Author: Martin Tomlinson,Cen Jung Tjhai,Marcel A. Ambroze,Mohammed Ahmed,Mubarak Jibril

Publisher: Springer

ISBN: 3319511033

Category: Technology & Engineering

Page: 522

View: 4856


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.

Error Detection and Correction

Hash Function, Reed-Solomon Error Correction, Hamming Code, Longitudinal Redundancy Check, Forward Error Correction, B

Author: Source Wikipedia


ISBN: 9781230567778


Page: 96

View: 7831


Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 95. Chapters: Hash function, Reed-Solomon error correction, Hamming code, Longitudinal redundancy check, Forward error correction, BCH code, Sanity testing, Pearson hashing, Latin square, Convolutional code, Automatic repeat request, Hagelbarger code, Negative-acknowledge character, Summation check, Transverse redundancy check, Pseudo bit error ratio, Forward-backward algorithm, Hamming(7,4), List-decoding, Viterbi algorithm, Coding theory, Low-density parity-check code, Turbo code, Reed-Muller code, Check digit, Viterbi decoder, Snake-in-the-box, Verhoeff algorithm, Parity bit, Interleaving, Casting out nines, Hybrid automatic repeat request, Group code recording, Luhn algorithm, Concatenated error correction code, Berlekamp-Massey algorithm, Binary Golay code, Hash tree, Triple-channel architecture, Selective Repeat ARQ, Sequential decoding, Coding gain, Repetition code, Constant-weight code, Triple modular redundancy, Maximum likelihood sequence estimation, Hadamard code, Automated Quality control of meteorological observations, Go-Back-N ARQ, Berger code, Chien search, Link adaptation, Stop-and-wait ARQ, Enumerator polynomial, Hash list, Error-correcting codes with feedback, Shaping codes, Remote Error Indication, EXIT chart, Redundant array of independent memory, Locally decodable code, Walsh code, Cross-interleaved Reed-Solomon coding, Chipkill, Iterative Viterbi decoding, BCJR algorithm, Residual bit error rate, Justesen code, Preparata code, Locally testable code, Header checksum, Lexicographic code, Multidimensional parity-check code, Soft output Viterbi algorithm, Majority logic decoding, Bipolar violation, Alternant code, Coset leader, Repeat-accumulate code, Memory ProteXion, Srivastava code, Error correction model, Header Check Sequence, Detection Error Tradeoff, Long code, Soft-decision decoder, Data...

Error Correction Coding

Mathematical Methods and Algorithms

Author: Todd K. Moon

Publisher: John Wiley & Sons

ISBN: 0471648000

Category: Computers

Page: 800

View: 4326


An unparalleled learning tool and guide to error correction coding Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of the modern information economy. Error Correction Coding: Mathematical Methods and Algorithms provides a comprehensive introduction to both the theoretical and practical aspects of error correction coding, with a presentation suitable for a wide variety of audiences, including graduate students in electrical engineering, mathematics, or computer science. The pedagogy is arranged so that the mathematical concepts are presented incrementally, followed immediately by applications to coding. A large number of exercises expand and deepen students' understanding. A unique feature of the book is a set of programming laboratories, supplemented with over 250 programs and functions on an associated Web site, which provides hands-on experience and a better understanding of the material. These laboratories lead students through the implementation and evaluation of Hamming codes, CRC codes, BCH and R-S codes, convolutional codes, turbo codes, and LDPC codes. This text offers both "classical" coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes-as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time codes, factor graphs, soft-decision decoding, Guruswami-Sudan decoding, EXIT charts, and iterative decoding. Theoretical complements on performance and bounds are presented. Coding is also put into its communications and information theoretic context and connections are drawn to public key cryptosystems. Ideal as a classroom resource and a professional reference, this thorough guide will benefit electrical and computer engineers, mathematicians, students, researchers, and scientists.

2004 IEEE Global Telecommunications Conference - Globecom

Author: IEEE Communications Society Staff

Publisher: N.A

ISBN: 9780780387942

Category: Artificial satellites in telecommunication

Page: 3960

View: 9474


This paper introduces a centralized admission control mechanism, referred to as Threshold-based Blocking Differentiation (TBDijf), to differentiate the blocking probability experienced by various service classes in a circuit switched WDM network. The mechanism is based on multiple class-thresholds that indicate the minimum amount of capacity that must be available, prior to accommodating a request for a given service class. The performance of TBDiff is studied by means of an analytical framework and also an event-driven simulator. The results show a thorough matching of the analytical and simulation results and also demonstrate that high blocking differentiation among service classes can be obtained, without excessively increasing the overall (average) network blocking probability.