Introduction to error correcting codes

Umer Ashraf

ISBN 10: 6139884772 / ISBN 13: 9786139884773

Published by LAP Lambert Academic Publishing, 2019

About this Item

Introduction to error correcting codes | Umer Ashraf | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9786139884773 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 117440331

Bibliographic Details

• Title: Introduction to error correcting codes
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6139884772
• ISBN 13: 9786139884773
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 150W x 4H x 219D millimeters 150 millimeters width by 4 millimeters height by 219 millimeters depth
• Weight: 154 grams
• Seller catalogs:
  • Bücher

About this title

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.