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. Among these are the elimination of intersymbol interference caused by filtering and multipath and the improved demodulation of certain frequency modulated signals by taking advantage of the "natural" coding provided by a continuous phase. Although several books and nu merous articles have been written on coding theory, there are still noticeable deficiencies. First, the practical aspects of translating a specific decoding algorithm into actual hardware have been largely ignored. The information that is available is sketchy and is widely dispersed. Second, the information required to evaluate a particular technique under situations that are en countered in practice is available for the most part only in private company reports. This book is aimed at correcting both of these problems. It is written for the design engineer who must build the coding and decoding equipment and for the communication system engineer who must incorporate this equipment into a system. It is also suitable as a senior-level or first-year graduate text for an introductory one-semester course in coding theory. The book U"Ses a minimum of mathematics and entirely avoids the classical theorem/proof approach that is often seen in coding texts.
This introductory text on error control coding focuses on key implementation issues and performance analysis with applications valuable to both mathematicians and engineers. It features discussion of punctured convolutional codes;...
This book is open access under a CC BY 4.0 license. This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes.
This text offers both "classical" coding theory-such as Hamming, BCH, Reed-Solomon, Reed-Muller, and convolutional codes-as well as modern codes and decoding methods, including turbo codes, LDPC codes, repeat-accumulate codes, space time ...
This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
This practical handbook provides communication systems engineers with guidance in the application of error-control coding. It emphasizes the fundamental concepts of coding theory while minimizing the use of mathematical tools...demonstrates...
This book aims to itemize. In this first volume, after having presented the base of the information theory, we will study the source coding techniques with and without loss.
Understand signals, spectra, modulation, demodulation, detection, communication links, system link budgets, synchronization, fading, and other key concepts Apply channel coding techniques, including advanced turbo coding and LDPC Explore ...
In this report, the probabilities of bit error for the most commonly used digital modulation techniques are analyzed.
Building on the success of the first edition, which offered a practical introductory approach to the techniques of error concealment, this book, now fully revised and updated, provides a comprehensive treatment of the subject and includes a ...
Inform. Theory, Vol. IT-10, 1964, pp. 116–118. [8] Morelos-Zaragoza, R. H., The Art of Error Correcting Coding, New York: John Wiley & Sons, 2002. [9] Rieger, S. H., “Codes for the Correction of 'Clustered' Errors,” IRE Trans. Inform.