Overview
- Provides a comprehensive treatment of forward error correction
- Includes examples through the book, which are solved in steps, making them easier to understand
- Ideal for researchers, professionals and students
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Table of contents (8 chapters)
Keywords
About this book
This book provides a comprehensive explanation of forward error correction, which is a vital part of communication systems. The book is written in such a way to make the subject easy and understandable for the reader. The book starts with a review of linear algebra to provide a basis for the text. The author then goes on to cover linear block codes, syndrome error correction, cyclic codes, Galois fields, BCH codes, Reed Solomon codes, and convolutional codes. Examples are provided throughout the text.
Authors and Affiliations
About the author
Orhan Gazi is an Associate Professor at the Electronic and Communication Engineering Department, Cankaya University. He received his BS, MS and PhD degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 1996, 2001, and 2007 respectively. His research interests are chiefly in signal processing, information theory, and forward error correction. Most recently he has been studying polar channel codes and preparing publications in this area. Prof. Gazi has also authored several books on Signal Processing and Information Theory.
Bibliographic Information
Book Title: Forward Error Correction via Channel Coding
Authors: Orhan Gazi
DOI: https://doi.org/10.1007/978-3-030-33380-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-33379-9Published: 16 December 2019
Softcover ISBN: 978-3-030-33382-9Published: 16 December 2020
eBook ISBN: 978-3-030-33380-5Published: 04 December 2019
Edition Number: 1
Number of Pages: X, 319
Number of Illustrations: 150 b/w illustrations, 16 illustrations in colour
Topics: Communications Engineering, Networks, Coding and Information Theory, Algorithms