Content Gazette - May 2018 - 2

Multiple Scan Data Association by Convex Variational Inference http://dx.doi.org/10.1109/TSP.2018.2802460 . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. L. Williams and R. A. Lau
On the Use of Extrinsic Probabilities in the Computation of Non-Bayesian Cram´er-Rao Bounds for Coded Linearly
Modulated Signals http://dx.doi.org/10.1109/TSP.2018.2806384 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Noels and M. Moeneclaey
ToPs: Ensemble Learning With Trees of Predictors http://dx.doi.org/10.1109/TSP.2018.2807402 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Yoon, W. R. Zame, and M. van der Schaar
Structure-Aware Bayesian Compressive Sensing for Frequency-Hopping Spectrum Estimation With Missing Observations
http://dx.doi.org/10.1109/TSP.2018.2806351 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Liu, Y. D. Zhang, T. Shan, and R. Tao
A Robust Parallel Algorithm for Combinatorial Compressed Sensing http://dx.doi.org/10.1109/TSP.2018.2806359 . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Mendoza-Smith, J. W. Tanner, and F. Wechsung
Asymptotic Confidence Regions for High-Dimensional Structured Sparsity http://dx.doi.org/10.1109/TSP.2018.2807399 . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Stucky and S. van de Geer
Navigation With Cellular CDMA Signals-Part I: Signal Modeling and Software-Defined Receiver Design
http://dx.doi.org/10.1109/TSP.2018.2799167 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Khalife, K. Shamaei, and Z. M. Kassas
Navigation With Cellular CDMA Signals-Part II: Performance Analysis and Experimental Results
http://dx.doi.org/10.1109/TSP.2018.2799166 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Khalife and Z. M. Kassas
Editors' Information Classification Scheme http://dx.doi.org/10.1109/TSP.2018.2815199 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Information for Authors http://dx.doi.org/10.1109/TSP.2018.2815201 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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About the Cover: The graphics on the front cover depict example network models, specifically (a) an Erd¨os-R´enyi network model
supergraph for N = 7; (b) a simple stochastic block model (1-D lattice) subgraph for 5 populations with 4 members; (c) a 2-D
lattice stochastic block model supergraph for 3 × 4 populations with 4 members; and (d) a random geographic location model, as
shown in "Optimal Filter Design for Signal Processing on Random Graphs: Accelerated Consensus" by Kruzick and Moura on
page 1258.

www.signalprocessingsociety.org

[2]

MAY 2018

http://dx.doi.org/10.1109/TSP.2018.2802460 http://dx.doi.org/10.1109/TSP.2018.2806384 http://dx.doi.org/10.1109/TSP.2018.2807402 http://dx.doi.org/10.1109/TSP.2018.2806351 http://dx.doi.org/10.1109/TSP.2018.2806359 http://dx.doi.org/10.1109/TSP.2018.2807399 http://dx.doi.org/10.1109/TSP.2018.2799167 http://dx.doi.org/10.1109/TSP.2018.2799166 http://dx.doi.org/10.1109/TSP.2018.2815199 http://dx.doi.org/10.1109/TSP.2018.2815201 http://www.signalprocessingsociety.org

Table of Contents for the Digital Edition of Content Gazette - May 2018