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reader’s

CHOICE

]

IEEE SIGNAL PROCESSING MAGAZINE [7] MARCH 2015

Top Downloads in IEEE Xplore

he “Reader’s Choice” column

in IEEE Signal Processing

Magazine contains a list of

articles published by the IEEE

Signal Processing Society

(SPS) that ranked among the top 100 most

downloaded IEEE Xplore articles. This

issue is based on download data through

June 2014. The table below contains the

citation information for each article and

the rank obtained in IEEE Xplore. The

highest rank obtained by an article in this

time frame is indicated in bold. Your sug-

gestions and comments are welcome and

should be sent to Associate Editor Michael

Gormish (gormish@ieee.org).

Digital Object Identifier 10.1109/MSP.2014.2374977

Date of publication: 12 February 2015

TITLE, AUTHOR, PUBLICATION YEAR

IEEE SPS PUBLICATIONS ABSTRACT

RANK IN IEEE TOP 100

N TIMES

IN TOP

100 (SINCE

JAN 2011)

JUN

2014

MAY

2014

APR

2014

MAR

2014

FEB

2014

JAN

2014

A TUTORIAL ON PARTICLE FILTERS FOR

ONLINE NONLINEAR/NON-GAUSSIAN-

BAYESIAN TRACKING

Arulampalam, M.S.; Maskell, S.;

Gordon, N.; Clapp, T.

IEEE Transactions on Signal Processing

vol. 50, no. 2, 2002, pp. 174–188

This article reviews optimal and

suboptimal Bayesian algorithms for nonlin-

ear/non-Gaussian tracking problems, with

a focus on particle filters. Variants of the

particle filter are introduced within a

framework of the sequential importance

sampling algorithm and compared with

the standard EKF.

12 15 9910 31 39

IMAGE QUALITY ASSESSMENT: FROM

ERROR VISIBILITY TO STRUCTURAL

SIMILARITY

Wang, Z; Bovik, A.C.; Sheikh, H.R.;

Simoncelli, E.P

IEEE Transactions on Image Processing

vol. 13, no. 4, 2004, pp. 600–612

This paper introduces a framework for

quality assessment based on the

degradation of structural information.

Within this framework a structure

similarity index is developed and

evaluated. MATLAB code available.

13 33 46 31 42 24 21

AN INTRODUCTION TO

COMPRESSIVE SAMPLING

Candes, E.J.; Wakin, M.B.

IEEE Signal Processing Magazine

vol. 25, no. 2, Mar. 2008, pp. 21–30

This article surveys the theory of

compressive sampling, also known as

compressed sensing or CS, a novel

sensing/sampling paradigm that goes

against the common wisdom in data

acquisition.

35 31 27 21 19 14 41

IMAGE QUALITY ASSESSMENT

FOR FAKE BIOMETRIC DETECTION:

APPLICATION TO IRIS, FINGERPRINT,

AND FACE RECOGNITION

Galbally, J; Marcel, S.; Fierrez, J.

IEEE Transactions on Image Processing

vol. 23, no. 2, 2014, pp. 710–724

This paper uses 25 general image quality

features extracted from the authentication

image to distinguish between legitimate

and imposter samples for fingerprint, iris,

and two-dimensional face biometrics.

50 74 50 3

NEW CHALLENGES FOR IMAGE

PROCESSING RESEARCH

Pappas, T.N.

IEEE Transactions on Image Processing

vol. 20, no. 12, 2011, p. 3321

The editor-in-chief of IEEE Transactions on

Image Processing addresses the direction

of the journal and image processing.

77 1

SCALING UP MIMO:

OPPORTUNITIES AND CHALLENGES

WITH VERY LARGE ARRAYS

Rusek, F.; Persson, D.; Lau, B.K.;

Larsson, E.G.; Marzetta, T.L.; Edfors, O.;

Tufvesson, F.

IEEE Signal Processing Magazine

vol. 30, no. 1, 2013, pp. 40–60

The more antennas the transmitter/

receiver is equipped with and the more

degrees of freedom that the propagation

channel can provide, the better the perfor-

mance in terms of data rate or link

reliability. This article quantifies the

reliability and achievable rates.

80 77 93 78 82 15

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