Fr. 188.40

Sparse Regression Codes

Inglese · Tascabile

Spedizione di solito entro 2 a 3 settimane (il titolo viene stampato sull'ordine)

Descrizione

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Developing increasingly computationally-efficient codes for communication and compression has been the major goal of information and coding theory. There have been significant advances towards this goal in the last couple of decades with the emergence of turbo codes, sparse-graph codes, and polar codes. The world has seen faster network speeds and greater storage due to many of these developments. A new class of codes, Sparse Regression Codes (SPARCs), are a promising class of codes for achieving the Shannon limits of a communication channel.
This monograph presents a unified and comprehensive overview of sparse regression codes, covering theory, algorithms, and practical implementation aspects. Written by the world's recognized experts in the field it describes the use of SPARCs for efficient communication over AWGN channels, for lossy compression and multi-terminal communication.
Researchers and students in modern communication and network systems will find Sparse Regression Codes an essential resource in understanding these new techniques that will have a significant impact on such systems in the years to come.

Riassunto

Presents a unified and comprehensive overview of sparse regression codes (SPARCs), covering theory, algorithms, and practical implementation aspects. Written by the world's recognised experts in the field it describes the use of SPARCs for efficient communication over AWGN channels, for lossy compression and multi-terminal communication.

Dettagli sul prodotto

Autori Andrew Barron, Sekhar Tatikonda, Ramji Venkataramanan
Editore Now Publishers Inc
 
Lingue Inglese
Formato Tascabile
Pubblicazione 30.09.2019
 
EAN 9781680835809
ISBN 978-1-68083-580-9
Pagine 218
Dimensioni 156 mm x 234 mm x 12 mm
Peso 339 g
Serie Foundations and Trends(r) in C
Foundations and Trends (R) in Communications and Information Theory
Categorie Guide e manuali
Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
Scienze sociali, diritto, economia > Media, comunicazione > Commercio librario, biblioteconomia

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