9781333276508 - principles of digital communication and coding (classic reprint) di j. viterbi, andrew (4 risultati)
Lingua: Inglese
Editore: Forgotten Books, 2018
Serie: Libro 12 di 28 - Dover Books on Electrical Engineering
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 37,43
Spedizione gratuitaSpedito in U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Forgotten Books, 2018
Serie: Libro 12 di 28 - Dover Books on Electrical Engineering
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 32,59
EUR 6,87 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 15 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
- Altre immagini
Lingua: Inglese
Editore: Forgotten Books Apr 2018, 2018
Serie: Libro 12 di 28 - Dover Books on Electrical Engineering
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 44,04
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Taschenbuch. Condizione: Neu. Neuware.
- Altre immagini
Lingua: Inglese
Editore: Forgotten Books, 2018
Serie: Libro 12 di 28 - Dover Books on Electrical Engineering
- Brossura
- Print on Demand
Da: Forgotten Books, London, Regno UnitoForgotten Books
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EUR 23,73
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Paperback. Condizione: 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 digita…l 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.
