Robust signal processing for wireless communications /

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Bibliographic Details
Author / Creator:Dietrich, Frank A.
Imprint:Berlin : Springer, c2008.
Description:1 online resource (xi, 280 p.)
Language:English
Series:Foundations in signal processing, communications and networking ; v. 2
Foundations in Signal Processing, Communications and Networking ; v. 2.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8885856
Hidden Bibliographic Details
ISBN:9783540742494
3540742492
9783540742463 (cloth)
3540742468 (cloth)
6611108106
9786611108106
Notes:Includes bibliographical references and index.
Description based on print version record.
Summary:"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."--Jacket.
Other form:Print version: Dietrich, Frank A. Robust signal processing for wireless communications. Berlin : Springer, c2008 9783540742463 3540742468

MARC

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505 0 |a Introduction -- Channel estimation and prediction -- Estimation of channel and noise covariance matrices -- Linear precoding with partial channel state information -- Nonlinear precoding with partial channel state. 
520 1 |a "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."--Jacket. 
588 |a Description based on print version record. 
650 0 |a Signal processing  |x Mathematics.  |0 http://id.loc.gov/authorities/subjects/sh2008111659 
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