Coding for Channels with Feedback

Name: Coding for Channels with Feedback
Brand: Springer, Berlin
SKU: 9780792382072
Price: 582.21 RON
Availability: InStock

Autor: James M. Ooi

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Legare: Copertă tare

Editura: Springer, Berlin

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Coding for Channels with Feedback presents both algorithms for feedback coding and performance analy...

Informații despre carte

Autor

James M. Ooi

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

1998

Pagini

174

EAN

9780792382072

ISBN

0792382072

Enbook ID

01397492

Editura

Springer, Berlin

Greutate

1010

Dimensiuni

156 x 234 x 12

Descriere completă

Coding for Channels with Feedback presents both algorithms for feedback coding and performance analyses of these algorithms, including analyses of perhaps the most important performance criterion: computational complexity. The algorithms are developed within a single framework, termed the compressed-error-cancellation framework, where data are sent via a sequence of messages: the first message contains the original data; each subsequent message contains a source-coded description of the channel distortions introduced on the message preceding it. §Coding for Channels with Feedback provides an easily understood and flexible framework for deriving low-complexity, practical solutions to a wide variety of feedback communication problems. It is shown that the compressed-error-cancellation framework leads to coding schemes with the lowest possible asymptotic order of growth of computations and can be applied to discrete memoryless channels, finite state channels, channels with memory, unknown channels, and multiple-access channels, all with complete noiseless feedback, as well as to channels with partial and noisy feedback. This framework leads to coding strategies that have linear complexity and are capacity achieving, and illustrates the intimate connection between source coding theory and channel coding theory. §Coding for Channels with Feedback is an excellent reference for researchers and communication engineers in the field of information theory, and can be used for advanced courses on the topic.

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