Error-correcting codes have been incorporated in numerous working communication and memory systems. This book covers the mathematical aspects of the theory of block error-correcting codes together, in mutual reinforcement, with computational discussions, implementations and examples of all relevant
Block error-correcting codes: A computational primer
β Scribed by Sebastian Xambo-Descamps
- Publisher
- Springer
- Year
- 2003
- Tongue
- English
- Leaves
- 226
- Series
- Universitext
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Error-correcting codes have been incorporated in numerous working communication and memory systems. This book covers the mathematical aspects of the theory of block error-correcting codes together, in mutual reinforcement, with computational discussions, implementations and examples of all relevant concepts, functions and algorithms. This combined approach facilitates the reading and understanding of the subject.
The digital companion of the book is a non-printable .pdf document with hyperlinks. The examples included in the book can be run with just a mouse click and modified and saved by users for their own purpose.
π SIMILAR VOLUMES
Draft(?) of "Block Error-Correcting Codes. A Computational Primer", Universitext, Springer, 2003. vi+265 pp.
<p>Error-correction coding is being used on an almost routine basis in most new communication systems. Not only is coding equipment being used to increase the energy efficiency of communication links, but coding ideas are also providing innovative solutions to many related communication problems. Am
<p>Error-correction coding is being used on an almost routine basis in most new communication systems. Not only is coding equipment being used to increase the energy efficiency of communication links, but coding ideas are also providing innovative solutions to many related communication problems. Am
This book, updated and enlarged for the second edition, is written as a text for a course aimed at third or fourth year graduate students in discrete mathematics, computer science, or communication engineering. Only some familiarity with elementary linear algebra and probability is assumed. The book