Skip to content
Open global navigation

Cambridge University Press

AcademicLocation selectorSearch toggleMain navigation toggle
Cart
Register Sign in Wishlist

Channel Codes
Classical and Modern

$99.99

textbook
  • Date Published: October 2009
  • availability: Available
  • format: Hardback
  • isbn: 9780521848688

$99.99
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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. Known for their writing clarity, Professors Ryan and Lin provide the latest 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.

    • Provides one-stop resource for both classical and modern coding techniques
    • Includes 250 varied and stimulating end-of-chapter problems, both routine calculations and computer simulations, to test and enhance learning
    • Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: October 2009
    • format: Hardback
    • isbn: 9780521848688
    • length: 710 pages
    • dimensions: 244 x 170 x 38 mm
    • weight: 1.32kg
    • contains: 35 tables 250 exercises
    • availability: Available
  • Table of Contents

    Preface
    1. Coding and capacity
    2. Finite fields, vector spaces, finite geometries and graphs
    3. Linear block codes
    4. Convolutional codes
    5. Low-density parity-check codes
    6. Computer-based design of LDPC codes
    7. Turbo codes
    8. Ensemble enumerators for turbo and LDPC codes
    9. Ensemble decoding thresholds for LDPC and turbo codes
    10. Finite geometry LDPC codes
    11. Constructions of LDPC codes
    12. LDPC codes based on combinatorial designs, graphs, and superposition
    13. LDPC codes for binary erasure channels
    14. Non-binary LDPC codes
    15. LDPC code applications and advanced topics
    Index.

  • Instructors have used or reviewed this title for the following courses

    • Algebraic Coding
    • Coding for Communications
    • Error Control Coding
    • Topics in Communications Theory
    • Topics in Error Control Coding
  • Authors

    William Ryan, Zeta Associates Inc.
    William E. Ryan is a Professor in the Department of Electrical and Computer Engineering at the University of Arizona, where he has been a faculty member since 1998. Before moving to academia, he held positions in industry for five years. He has published over 100 technical papers and his research interests include coding and signal processing with applications to data storage and data communications.

    Shu Lin, University of California, Davis
    Shu Lin is an Adjunct Professor in the Department of Electrical and Computer Engineering, University of California, Davis. He has authored and co-authored numerous technical papers and several books, including the successful Error Control Coding (with Daniel J. Costello). He is an IEEE Life Fellow and has received several awards, including the Alexander von Humboldt Research Prize for U.S. Senior Scientists (1996) and the IEEE Third-Millenium Medal (2000).

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email cflack@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website, your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Find content that relates to you

© Cambridge University Press 2014

Back to top

Are you sure you want to delete your account?

This cannot be undone.

Cancel Delete

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×