Information Theory And Coding Solved Problems
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Information Theory and Coding - Solved Problems
This book is offers a comprehensive overview of information theory and error control coding, using a different approach then in existed literature. The chapters are organized according to the Shannon system model, where one block affects the others. A relatively brief theoretical introduction is provided at the beginning of every chapter, including a few additional examples and explanations, but without any proofs. And a short overview of some aspects of abstract algebra is given at the end of the corresponding chapters. The characteristic complex examples with a lot of illustrations and tables are chosen to provide detailed insights into the nature of the problem. Some limiting cases are presented to illustrate the connections with the theoretical bounds. The numerical values are carefully selected to provide in-depth explanations of the described algorithms. Although the examples in the different chapters can be considered separately, they are mutually connected and the conclusions for one considered problem relate to the others in the book.
Selected Unsolved Problems in Coding Theory
Author: David Joyner
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-08-26
Using an original mode of presentation, and emphasizing the computational nature of the subject, this book explores a number of the unsolved problems that still exist in coding theory. A well-established and highly relevant branch of mathematics, the theory of error-correcting codes is concerned with reliably transmitting data over a ‘noisy’ channel. Despite frequent use in a range of contexts, the subject still contains interesting unsolved problems that have resisted solution by some of the most prominent mathematicians of recent decades. Employing Sage—a free open-source mathematics software system—to illustrate ideas, this book is intended for graduate students and researchers in algebraic coding theory. The work may be used as supplementary reading material in a graduate course on coding theory or for self-study.
DIGITAL COMMUNICATION
The book, organised in ten chapters, comprehensively presents the concepts pertaining to digital communication in a very simplified manner. Mathematical intricacies of ideas which form the bedrock of digital communication such as sampling, baseband data transmission, information theory, error control coding, and modulation are presented in a style understandable to an undergraduate student. Each and every topic, no matter how simple it seems, is followed by solved examples. Besides, additional information on certain topics are provided in appropriate annexures. Thus, the flow of the topics is not interrupted with unnecessary deviations from the viewpoint of an average student, whereas at the same time, the brighter students can go through these annexures to gain extra knowledge. The book is primarily intended for the undergraduate students of Electronics and Communication Engineering, Electronics and Telecommunication Engineering, and Telecommunication Engineering offered in various Indian universities. The text is also of immense use to the aspirants of AMIE exam and AMIETE exam. KEY FEATURES • Solved problems and exercises at the end of each chapter are provided from practice point of view. • Chapter-end references are given for further exploration of several advanced topics touched upon in the text. • Numerous figures and tables are included to help grasp the concepts discussed.