Introduction to Information Theory and Coding: | Probability, Entropy, Channels, and Error Detection and Correction Codes

Heba Al-Asady

ISBN 10: 6200276307 / ISBN 13: 9786200276308

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Introduction to Information Theory and Coding: | Probability, Entropy, Channels, and Error Detection and Correction Codes | Heba Al-Asady | Taschenbuch | 136 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200276308 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 117346437

Bibliographic Details

• Title: Introduction to Information Theory and Coding: | Probability, Entropy, Channels, and Error Detection and Correction Codes
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200276307
• ISBN 13: 9786200276308
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book is as follows: • Understanding the extent to which uncertainty is affected if the possibilities of feasible options are known and how important they are and how they relate to the concept of entropy. How information and uncertainty are linked and why entropy plays an important role in measuring information and previous information. This concept is developed to encrypt and accurately send this information even if there is noise by formalizing the transmission of the concept of "channel" and knowledge of the two basic concepts governing the transmissions. • After completing the basic knowledge of the information and how to encrypt it in the ways discussed in this book, we discussed the process of sending information and know the basic limit of the transmission error and what conditions must be followed by the code in order to pressure effectively. What is the minimum distance of the code and the number of errors that can be corrected by the specified minimum distance code; the basics of linear symbols: how to construct such symbols, how to encrypt and decrypt them with a linear code.