9783319082929-3319082922-Forward Error Correction Based On Algebraic-Geometric Theory (SpringerBriefs in Electrical and Computer Engineering)

Forward Error Correction Based On Algebraic-Geometric Theory (SpringerBriefs in Electrical and Computer Engineering)

ISBN-13: 9783319082929
ISBN-10: 3319082922
Edition: 2014
Author: Jafar A. Alzubi, Omar A. Alzubi, Thomas M. Chen
Publication date: 2014
Publisher: Springer
Format: Paperback 82 pages
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Book details

ISBN-13: 9783319082929
ISBN-10: 3319082922
Edition: 2014
Author: Jafar A. Alzubi, Omar A. Alzubi, Thomas M. Chen
Publication date: 2014
Publisher: Springer
Format: Paperback 82 pages

Summary

Forward Error Correction Based On Algebraic-Geometric Theory (SpringerBriefs in Electrical and Computer Engineering) (ISBN-13: 9783319082929 and ISBN-10: 3319082922), written by authors Jafar A. Alzubi, Omar A. Alzubi, Thomas M. Chen, was published by Springer in 2014. With an overall rating of 3.8 stars, it's a notable title among other Information Theory (Computer Science, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, Telecommunications & Sensors, Engineering, Applied, Mathematics) books. You can easily purchase or rent Forward Error Correction Based On Algebraic-Geometric Theory (SpringerBriefs in Electrical and Computer Engineering) (Paperback) from BooksRun, along with many other new and used Information Theory books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book covers the design, construction, and implementation of algebraic-geometric codes from Hermitian curves. Matlab simulations of algebraic-geometric codes and Reed-Solomon codes compare their bit error rate using different modulation schemes over additive white Gaussian noise channel model. Simulation results of Algebraic-geometric codes bit error rate performance using quadrature amplitude modulation (16QAM and 64QAM) are presented for the first time and shown to outperform Reed-Solomon codes at various code rates and channel models. The book proposes algebraic-geometric block turbo codes. It also presents simulation results that show an improved bit error rate performance at the cost of high system complexity due to using algebraic-geometric codes and Chase-Pyndiah’s algorithm simultaneously. The book proposes algebraic-geometric irregular block turbo codes (AG-IBTC) to reduce system complexity. Simulation results for AG-IBTCs are presented for the first time.

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