Introduction to error correcting codes

Umer Ashraf

ISBN 10: 6139884772 / ISBN 13: 9786139884773

Edité par LAP Lambert Academic Publishing, 2019

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - Claude Shannon in his celebrated noisy channel coding theorem proved the existence of channel coding schemes that can achieve an arbitrarily low error probability as long as the information is transmitted across the channel at a rate less than the channel capacity. He did not specify how to design such codes which have rate close to capacity and that is where basically error control coding comes into picture. Hence the goal of error correction coding theory is to design codes that can achieve Shannon limit. Error control coding is introduced in a communication system to transmit information from one end to the other at an acceptable rate and level of reliability and quality to user at the other end. Increasing power and channel bandwidth are not viable option .The practical option of changing the data quality from problematic to acceptable level is to use error control coding. In error control coding redundant bits are augmented with the message bits at the transmitter to provide reliable communication over a noisy channel. A proper encoding and decoding strategy employing redundant bits and message bits improves the channel capacity much closer to Shannon's limit.

N° de réf. du vendeur 9786139884773

Détails bibliographiques

• Titre: Introduction to error correcting codes
• Éditeur: LAP Lambert Academic Publishing
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 6139884772
• ISBN à 13 chiffres: 9786139884773
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 220 L x 150 H x 33 P (en millimètres) 220 millimètres de largeur par 150 millimètres de hauteur par 33 millimètres de profondeur
• Poids: 125 grammes

A propos de ce titre

Synopsis

Claude Shannon in his celebrated noisy channel coding theorem proved the existence of channel coding schemes that can achieve an arbitrarily low error probability as long as the information is transmitted across the channel at a rate less than the channel capacity. He did not specify how to design such codes which have rate close to capacity and that is where basically error control coding comes into picture. Hence the goal of error correction coding theory is to design codes that can achieve Shannon limit. Error control coding is introduced in a communication system to transmit information from one end to the other at an acceptable rate and level of reliability and quality to user at the other end. Increasing power and channel bandwidth are not viable option .The practical option of changing the data quality from problematic to acceptable level is to use error control coding. In error control coding redundant bits are augmented with the message bits at the transmitter to provide reliable communication over a noisy channel. A proper encoding and decoding strategy employing redundant bits and message bits improves the channel capacity much closer to Shannon’s limit.