skip to main content
Skip header Section
Trellis and Turbo CodingMay 2003
Publisher:
  • John Wiley & Sons, Inc.
  • 111 River Street
  • Hoboken
  • NJ
  • United States
ISBN:978-0-471-22755-7
Published:01 May 2003
Skip Bibliometrics Section
Bibliometrics
Abstract

No abstract available.

Cited By

  1. Schlegel C, Burnashev M and Truhachev D (2010). Generalized superposition modulation and iterative demodulation, Journal of Electrical and Computer Engineering, 2010, (1-9), Online publication date: 1-Jan-2010.
  2. Schlegel C and Zhang S (2010). On the dynamics of the error floor behavior in (regular) LDPC codes, IEEE Transactions on Information Theory, 56:7, (3248-3264), Online publication date: 1-Jul-2010.
  3. Onizawa N, Hanyu T and Gaudet V (2010). Design of high-throughput fully parallel LDPC decoders based on wire partitioning, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 18:3, (482-489), Online publication date: 1-Mar-2010.
  4. Jonietz C, Gerstacker W and Schober R (2009). Sphere constrained detection of complementary code keying signals transmitted over frequency-selective channels, IEEE Transactions on Wireless Communications, 8:9, (4656-4667), Online publication date: 1-Sep-2009.
  5. Truhachev D, Schlegel C and Krzymien L (2019). A two-stage capacity-achieving demodulation/decoding method for random matrix channels, IEEE Transactions on Information Theory, 55:1, (136-146), Online publication date: 1-Jan-2009.
  6. Brandon T, Hang R, Block G, Gaudet V, Cockburn B, Howard S, Giasson C, Boyle K, Goud P, Zeinoddin S, Rapley A, Bates S, Elliott D and Schlegel C (2008). A scalable LDPC decoder ASIC architecture with bit-serial message exchange, Integration, the VLSI Journal, 41:3, (385-398), Online publication date: 1-May-2008.
  7. ACM
    Iliev T A study of turbo codes for UMTS third generation cellular standard Proceedings of the 2007 international conference on Computer systems and technologies, (1-6)
  8. (2018). Application-specific instruction set processor implementation of list sphere detector, EURASIP Journal on Embedded Systems, 2007:3, (1-14), Online publication date: 1-Aug-2007.
  9. ACM
    Kaya L and Al Qudah M A visual tool for trellis construction and Viterbi decoder of augmented RAC array codes Proceedings of the 2006 international conference on Wireless communications and mobile computing, (1471-1475)
  10. ACM
    Damnjanovic I and Izquierdo E Perceptual watermarking using just noticeable difference model based on block classification Proceedings of the 2nd international conference on Mobile multimedia communications, (1-5)
  11. Howard S, Schlegel C and Iniewski K (2018). Error control coding in low-power wireless sensor networks, EURASIP Journal on Wireless Communications and Networking, 2006:2, (29-29), Online publication date: 2-Apr-2006.
  12. Damnjanovic I and Izquierdo E Capacity enhancement of compressed domain watermarking channel using duo-binary coding Proceedings of the 5th international conference on Digital Watermarking, (162-176)
  13. Ali M and Murshed M Lossless compression of correlated images/data with low complexity encoder using distributed source coding techniques Proceedings of the Second international conference on Image Analysis and Recognition, (302-309)
Contributors
  • Dalhousie University
  • University of Nebraska–Lincoln

Recommendations

Vladimir Botchev

Error correction coding is a fairly complex subject, and well-written material on error correction coding is always more than welcome from the large community of students and practitioners. This book is, without a shadow of doubt, one of the finest on the subject of trellis coding; the turbo coding material in it, however, is less detailed than one would assume for a book with the term "turbo coding" in its title. Despite the fact that the authors proclaim their book to "provide practical grounding," it does so much less than less theoretically inclined books, for example Lee's book series on block and convolutional codes [1,2]. Indeed, without a firm theoretical background, one can hardly pursue a valuable research work in the error coding field (although turbo coding discovery is, in a certain sense, a counterexample). Many practicing engineers, however, need to rapidly develop and test coding solutions. These professionals do not necessarily have the background in information theory needed for deep understanding of all aspects of error correction coding, nor do they have the time to spend getting such background, and then experiment. This book does not truly address these needs; it is much more academic than practical. For a crash course on trellis and turbo coding, with immediate practical impact, readers would be better served by Lee's book set, or something similar. This book could be useful in such instances as parallel reading, and for getting a firm theoretical knowledge if one is desired (which is highly recommended). For students and instructors of digital communications, however, this book is a gold mine. Not only does it delve into all aspects of classic convolutional coding and trellis coding, but it also explores the latter's links to block codes (also done in Lee's book), provides a chapter on low density parity check (LDPC) codes (perhaps for the first time in a book since 1963), and presents a good introduction to turbo coding. And again, for turbo coding, the more practically-oriented specialist would do better to turn first to Barbulescu's turbo coding tutorials [3,4], and also to his new e-book, What a wonderful turbo world [5]. In conclusion, for a student or instructor in the field of digital communications or related disciplines, this book is a must. For practicing engineers, it is highly recommended as a background reference. Online Computing Reviews Service

Access critical reviews of Computing literature here

Become a reviewer for Computing Reviews.