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This revised edition of McEliece's classic is a self-contained introduction to all basic results in the theory of information and coding. This theory was developed to deal with the fundamental problem of communication, that of reproducing at one point, either exactly or approximately, a message selected at another point. There is a short and elementary overview introducing the reader to the concept of coding. Following the main results, the channel and source coding theorems is a study of specific coding schemes which can be used for channel and source coding. This volume can be used either for self-study, or for a graduate/undergraduate level course at university. It includes dozens of worked examples and several hundred problems for solution.

Product Description: Die vorliegende Monographie ist im wesentlichen Fragen der Diskreten Mathematik gewidmet. Die Diskrete Mathematik bildet die Grundlage fUr die Mathematische Kybernetik. Die Auswahl des Materials aus der Diskreten Mathematik wurde haupt sachlich im Blick auf Fragen aus der Mathematischen Kybernetik getroffen...read more

Product Description: Prentice Hall 1984. Authors N.S. and Noll, Petter Jayant book on image, video and speech coding.

Product Description: Intended to show how to attain reliable digital communications and coding, this book covers subjects such as Fourier theory, digital signaling methods, probability theory, and noisy channels. Moreover, it goes beyond standard treatments to cover emerging topics that will soon become commonplace in this rapidly changing field...read more

Product Description: Chpt 1-Intro, Chpt 2-Error-Detecting Codes, Chpt 3- Error Correcting Codes, Chpt 4-Variable-Length Codes: Huffman, Chpt 5-Miscellaneous Codes, Chpt 6-Entropy and Shannon's first Theorem, Chpt 7- Channel and Mutual Information, Chpt 8- Channel Capacity, Chpt 9- Some Mathematical Preliminaries, Chpt 10- Shannon's Main Theorem, Chpt 11- Algebraic Coding, Appendix A: Bandwidth and the Sample Theorem, Appendix B: Some tables for Entropy Calculations...read more

Algebraic coding theory is a new and rapidly developing subject, popular for its many practical applications and for its fascinatingly rich mathematical structure. This book provides an elementary yet rigorous introduction to the theory of error-correcting codes. Based on courses given by the author over several years to advanced undergraduates and first-year graduated students, this guide includes a large number of exercises, all with solutions, making the book highly suitable for individual study.

Product Description: G TRADE-PAPERBACK. EX-LIBRARY WITH TYPICAL MARKINGS

Product Description: The spreading of digital technology has resulted in a dramatic increase in the demand for data compression (DC) methods. At the same time, the appearance of highly integrated elements has made more and more com­ plicated algorithms feasible...read more

Product Description: Teaching the theory of error correcting codes on an introductory level is a difficult task. The theory, which has immediate hardware applications, also concerns highly abstract mathematical concepts. This text explains the basic circuits in a refreshingly practical way that will appeal to undergraduate electrical engineering students as well as to engineers and technicians working in industry...read more (view table of contents, read Amazon.com's description)

Product Description: Coding theory, a branch of applied mathematics, provides the essential tools and techniques to maintain the integrity of complex data while transmitting them over noisy channels. Without these techniques most communication channels would not function at an acceptable level...read more

Product Description: Book by Wiggert, Djimitri

Product Description: This monograph develops an algebraic approach that can be used to construct convolutional codes that are efficient in both classical and nonclassical situations. Coding theory, which is an offshoot of the field of probabilistic information theory, falls into two parts: block codes and convolutional codes...read more