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Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfect… Plus…

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Robust Signal Processing for Wireless Communications - Livres de poche

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ISBN: 3642093574

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Robust Signal Processing for Wireless Communications by Frank Dietrich Paperback | Indigo Chapters
Auteur:
Titre:
ISBN:

9783642093579


Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors. In this book, a systematic treatment of this practical design problem is provided.

Informations détaillées sur le livre - Robust Signal Processing for Wireless Communications by Frank Dietrich Paperback | Indigo Chapters


EAN (ISBN-13): 9783642093579
ISBN (ISBN-10): 3642093574
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Frank Dietrich
292 Pages
Poids: 0,445 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-05-30T03:50:14+02:00 (Zurich)
Page de détail modifiée en dernier sur 2024-02-11T01:03:33+01:00 (Zurich)
ISBN/EAN: 9783642093579

ISBN - Autres types d'écriture:
3-642-09357-4, 978-3-642-09357-9
Autres types d'écriture et termes associés:
Auteur du livre: dietrich
Titre du livre: signa, the best signal, wireless communications, sign communication, signal processing for communications

Données de l'éditeur

Auteur: Frank Dietrich
Titre: Foundations in Signal Processing, Communications and Networking; Robust Signal Processing for Wireless Communications
Editeur: Springer; Springer Berlin
280 Pages
Date de parution: 2010-11-16
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 280 p. 88 illus.

BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Autocorrelation Sequences; Band Limited Random Processes; Downlink; Identification; Information; Interpolation; MIMO; Noise Statistics; Robust Channel Estimation; Robust Channel Prediction; algorithms; antenna; coding; information theory; signal processing; Signal, Speech and Image Processing; Communications Engineering, Networks; Computational Science and Engineering; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Mathematical Applications in Computer Science; Mathematical and Computational Engineering Applications; Digitale Signalverarbeitung (DSP); Nachrichtententechnik, Telekommunikation; Numerische Mathematik; Wahrscheinlichkeitsrechnung und Statistik; Theoretische Informatik; Mathematik für Ingenieure; BB; EA

This book treats the robust design of signal processing algorithms for wireless communications which are based on an incomplete model of the propagation channel. The systematic treatment of this practical problem focuses on signal processing tasks in the physical layer with multiple antennas and relies on a description of the errors and uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations provide the necessary background and context to the reader. The book contains detailed derivations and enlightening insights covering the following topics in detail: Training-based multiple-input multiple-output (MIMO) channel estimation Robust minimax estimation of the wireless communication channel Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference) Interpolation of band-limited autocovariance sequences Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas, which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, nonlinear beamforming)
Optimization of signal processing tasks for wireless communications under realistic assumptions Presents Important key application areas for signal processing in wireless communication

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