This book was originally published prior to 1923, and represents a reproduction of an important historical work, maintaining the same format as the original work. While some publishers have opted to apply OCR (optical character recognition) technology to the process, we believe this leads to sub-optimal results (frequent typographical errors, strange characters and confusing formatting) and does not adequately preserve the historical character of the original artifact. We believe this work is culturally important in its original archival form. While we strive to adequately clean and digitally enhance the original work, there are occasionally instances where imperfections such as blurred or missing pages, poor pictures or errant marks may have been introduced due to either the quality of the original work or the scanning process itself. Despite these occasional imperfections, we have brought it back into print as part of our ongoing global book preservation commitment, providing customers with access to the best possible historical reprints. We appreciate your understanding of these occasional imperfections, and sincerely hope you enjoy seeing the book in a format as close as possible to that intended by the original publisher.
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Gratuit expédition depuis Royaume-Uni vers Etats-Unis
Destinations, frais et délaisVendeur : Forgotten Books, London, Royaume-Uni
Paperback. Etat : New. Print on Demand. This book is the definitive guide to the fundamental concepts of digital communication and coding, as introduced by Claude Shannon in one remarkable series of papers in 1948. Shannon's mathematical theory of communication established the ultimate capabilities and limitations of digital communication systems, with profound impact on their subsequent evolution. The author provides a direct route to understanding this theory and its practical applications. This book rigorously establishes the two key parameters, entropy and capacity, as the fundamental measures of information within a digital system. Beginning with a lucid explanation of entropy, which quantifies the information contained in a source, it then develops the concept of channel capacity, which quantifies the maximum rate at which information can be reliably transmitted over a noisy channel. The author demonstrates how these concepts form the theoretical foundations for both source coding, which minimizes the number of bits required to digitally encode a source, and channel coding, which ensures that bits transmitted over a noisy channel are received correctly. These ideas are central to the design of any digital communication system, and underpin the vast majority of data transmission systems in the world today. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781333276508_0
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781333276508
Quantité disponible : 15 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781333276508
Quantité disponible : 15 disponible(s)