Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 82 pages, 13 black & white illustrations, 20 colour illustrations, biography. BIC Classification: GPJ; PBW; TJK. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 4. Weight in Grams: 145. . 2014. Paperback. . . . .

N� de ref. del art�culo V9783319082929

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Detalles bibliogr�ficos

T�tulo: Forward Error Correction Based on Algebraic-Geometric Theory
Editor: Springer International Publishing AG
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 3319082922
ISBN 13: 9783319082929
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

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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