Content Gazette - November 2019 - 4

A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources
From Noisy Mixtures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Weiss and A. Yeredor

5032

Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Yang, X. Shen, H. Ma, B. Chen, Y. Gu, and H. C. So

5046

Edge Exclusion Tests for Graphical Model Selection: Complex Gaussian Vectors and Time Series . . . . . . . . J. K. Tugnait

5062

Iterated Extended Kalman Smoother-Based Variable Splitting for L1 -Regularized State Estimation . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Gao, F. Tronarp, and S. S¨arkk¨a

5078

Exploiting Prior Information in Block-Sparse Signals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Daei, F. Haddadi, and A. Amini

5093

Beliefs in Decision-Making Cascades . . . . . . . . . . . . . . . D. Seo, R. K. Raman, J. B. Rhim, V. K. Goyal, and L. R. Varshney

5103

Design of Robust Radar Detectors Through Random Perturbation of the Target Signature . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Coluccia, G. Ricci, and O. Besson

5118

Extended-Object or Group-Target Tracking Using Random Matrix With Nonlinear Measurements . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Lan and X. R. Li

5130

Multivariate Signal Modeling With Applications to Inertial Sensor Calibration . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. Xu, S. Guerrier, R. C. Molinari, and M. Karemera

5143

Representation and Reconstruction of Finite-Energy Band-Limited Signals via Pulse-Width Modulation . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. C. Sev¨uktekin and A. C. Singer

5153

Hypothesis Testing Under Subjective Priors and Costs as a Signaling Game . . . . . . . . . S. Sartas¸, S. Gezici, and S. Y¨uksel

5169

Simultaneous Sparse Recovery and Blind Demodulation . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Xie, M. B. Wakin, and G. Tang

5184

EDICS-Editors' Information Classification Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Information for Authors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

www.signalprocessingsociety.org

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NOVEMBER 2019
Content Gazette - November 2019

Table of Contents for the Digital Edition of Content Gazette - November 2019
