Signal Processing - November 2016 - 7

Zero-Forcing Methods for
Downlink Spatial Multiplexing
in Multiuser MIMO Channels
Spencer, Q.H.; Swindlehurst, A.L.;
Haardt, M.
This paper presents two closed-form constrained solutions to the capacity problem
and the power control problem. The first
solution, block diagonalization, is a generalization of channel inversion when
there are multiple antennas at each
receiver. The second, successive optimization, is a method for solving the power
minimization problem one user at a time.
February 2004

Bayesian Compressive Sensing
J. Shihao; Xue Y.; Carin, L.
In this paper, a Bayesian formalism is
employed for estimating the underlying
signal f based on compressive-sensing
measurements g. The proposed framework has the following properties: 1) in
addition to estimating the underlying
signal f, "error bars" are also estimated,
these giving a measure of confidence in
the inverted signal; 2) using knowledge
of the error bars is used to determine
when a sufficient number of compressive-sensing measurements have been
performed; 3) the compressive sensing
measurements are optimized adaptively
and, hence, not determined randomly;
and 4) the framework accounts for
additive noise in the compressive-sensing measurements and provides an estimate of the noise variance.
June 2008

Matching Pursuits with
Time-Frequency Dictionaries
S.G. Mallat; Zhang, Z.
The authors introduce an algorithm,
called matching pursuit, that decomposes any signal into a linear expansion of
waveforms that are selected from a
redundant dictionary of functions. This
is a truly classic paper cited by thousands over the years that followed.
December 1993

A Generalized Memory Polynomial
Model for Digital Predistortion
of RF Power Amplifiers
Morgan, D.R.; Ma, Z.; J. Kim;
M.G. Zierdt; J. Pastalan

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In this paper, the authors compare a
predistortion model to classical methods of avoiding "spectral regrowth."
A new generalized memory polynomial that achieves the best performance to date is demonstrated with
experimental results obtained from a
testbed using an actual 30-W, 2-GHz
power amplifier.
October 2006

On the Efficiency
of Far-Field Wireless
Power Transfer
Xia, M.; Aissa, S.
This paper investigates the power transfer efficiency of the wireless power
transfer segment in future communication systems in support of simultaneous
power and data transfer, by means of
analytically computing the time-average output direct current (dc) power at
user equipment (UE). If opportunistic
scheduling is performed among N symmetric/asymmetric UE, the power
scaling laws are attained by using extreme value theory and reveal that the
gain in power transfer efficiency is
lnN if UEs are symmetric whereas the
gain is N if UEs are asymmetric, compared with that of conventional roundrobin scheduling.
March 2015
IEEE Signal Processing Magazine

November 2016

Structured Compressed Sensing:
From Theory to Applications
Duarte, M.F.; Eldar, Y.C.
In the overview, the theme of this paper is
exploiting signal and measurement structure in compressive sensing (CS). The
primary focus is bridging theory and practice; that is, to pinpoint the potential of
structured CS strategies to emerge from
the math to the hardware. The summary
highlights new directions as well as relations to more traditional CS, with the
hope of serving both as a review to practitioners wanting to join this emerging field,
and as a reference for researchers that attempts to put some of the existing ideas
in perspective of practical applications.
July 2011

Improving Wireless Physical Layer
Security via Cooperating Relays
Dong , L.; Han, Z.; Petropulu, A.P.;
Poor, H.V.
This paper addresses secure communications of one source-destination pair with
the help of multiple cooperating relays
in the presence of one or more eavesdroppers. Three cooperative schemes are
considered: decode-and-forward (DF),
amplify-and-forward (AF), and cooperative jamming (CJ).
December 2009
sP
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Table of Contents for the Digital Edition of Signal Processing - November 2016