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Random Matrix Methods for Wireless Communications (Hardcover, New) Loot Price: R2,728
Discovery Miles 27 280
Random Matrix Methods for Wireless Communications (Hardcover, New): Romain Couillet, Merouane Debbah

Random Matrix Methods for Wireless Communications (Hardcover, New)

Romain Couillet, Merouane Debbah

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Loot Price R2,728 Discovery Miles 27 280 | Repayment Terms: R256 pm x 12*

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Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanation of the key results and all fundamental lemmas required for the reader to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose the correct approach for obtaining mathematically accurate results.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: September 2011
First published: August 2011
Authors: Romain Couillet • Merouane Debbah
Dimensions: 249 x 175 x 30mm (L x W x T)
Format: Hardcover
Pages: 562
Edition: New
ISBN-13: 978-1-107-01163-2
Categories: Books > Computing & IT > Applications of computing > Signal processing
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
LSN: 1-107-01163-9
Barcode: 9781107011632

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