Forward Error Correction Based On Algebraic-Geometric Theory

Nonfiction, Computers, Advanced Computing, Theory, Science & Nature, Technology, Telecommunications
Cover of the book Forward Error Correction Based On Algebraic-Geometric Theory by Thomas M. Chen, Jafar A. Alzubi, Omar A. Alzubi, Springer International Publishing
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Author: Thomas M. Chen, Jafar A. Alzubi, Omar A. Alzubi ISBN: 9783319082936
Publisher: Springer International Publishing Publication: June 12, 2014
Imprint: Springer Language: English
Author: Thomas M. Chen, Jafar A. Alzubi, Omar A. Alzubi
ISBN: 9783319082936
Publisher: Springer International Publishing
Publication: June 12, 2014
Imprint: Springer
Language: English

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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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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