Computer Science BooksPrograming Theory Books

Notes on Coding Theory by J.I.Hall

Notes on Coding Theory by J.I.Hall

Notes on Coding Theory by J.I.Hall

This comprehensive note considers some basic material in coding theory and discusses sphere packing and Shannon's theorem, which form the basics to understanding the idea of error correction and data transmission. It also deals with the concept of linear codes and their applications by describing Hamming codes and generalized Reed-Solomon codes. The material further takes a look at some codes within the frameworks of modifiation of codes and codes over subfields, providing insights into cyclic codes. Furthermore, it addresses the importance of countering weights and distances in error-correcting codes, thus making it a very vital text for students and professionals looking to deepen their knowledge on mathematical underpinnings and practical applications of coding theory.

Author(s):

s204 Pages
Similar Books
Lecture Notes on Programming Theory for Management Information Systems

Lecture Notes on Programming Theory for Management Information Systems

All this said in advance so as not to anticipate the reader to refer him to Johnny Wei Bing Lin's programming theory notes which fairly thoroughly delivers a course on programming theory precisely tailored for management information systems. Business data analysis begins the document which then gradually turns into using Python as both a calculator and tool which can do something more complex with data. Essentially, these topics include X Y plots, simple and advanced data analyses, and text data. The notes elaborate on the automation and management of information systems, which indicates file management and directory organization as well as powerful program design. This resource has been designed to equip the reader with skills practically applicable towards efficient management and analysis of business data through programming techniques.

s140 Pages
Coding Theory and Applications

Coding Theory and Applications

This book is meant for undergraduate students who wish to obtain a basic knowledge in coding theory based on the subject of linear codes. It begins with introductory chapters based on Shannon theory and relevant to coding, then advances to detailed discussions about decoding linear codes and the MacWilliams identity. Besides these, the construction of new codes and the attainment of bounds on code performance are subjects of discussion, and thus Reed-Muller codes prove very significant in this light. This book is an exposition of the practical coding theory applied in many fields: telecommunications to data storage. It focuses on fast decoding techniques and higher-order RM codes.

s154 Pages