Network Coding and Subspace Designs / edited by Marcus Greferath, Mario Osvin Pavčević, Natalia Silberstein, María Ángeles Vázquez-Castro.
Contributor(s): Greferath, Marcus, editor literario | Pavčević, Mario Osvin, editor literario | Silberstein, Natalia, editor literario | Vázquez-Castro, María Ángeles, editor literario
Material type:
E-bookSeries: (Signals and Communication Technology, 1860-4862); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (XIV, 442 páginas 57 ilustraciones, 32 ilustraciones a color).ISBN: 9783319702933.Subject: Codificación, Teoría de la
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA268 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112963 |
Subspace Codes and Rank Metric Codes -- Finite Geometries and Subspace Designs -- Application of Network Coding -- Codes For Distributed Storage Systems.
This book, written by experts from universities and major research laboratories, addresses the hot topic of network coding, a powerful scheme for information transmission in networks that yields near-optimal throughput. It introduces readers to this striking new approach to network coding, in which the network is not simply viewed as a mechanism for delivering packets, but rather an algebraic structure named the subspace, which these packets span. This leads to a new kind of coding theory, employing what are called subspace codes. The book presents selected, highly relevant advanced research output on: Subspace Codes and Rank Metric Codes; Finite Geometries and Subspace Designs; Application of Network Coding; Codes for Distributed Storage Systems. The outcomes reflect research conducted within the framework of the European COST Action IC1104: Random Network Coding and Designs over GF(q). Taken together, they offer communications engineers, R&D engineers, researchers and graduate students in Mathematics, Computer Science, and Electrical Engineering a comprehensive reference guide to the construction of optimal network codes, as well as efficient encoding and decoding schemes for a given network code.
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