Joint Subcarrier and Power Allocation in NOMA: Optimal and Approximate Algorithms 2215-2230 Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-Rank Signal Model 2244-2255 Eigenspace Solution for AOA Localization in Modified Polar Representation 2256-2271 Generalized Sampling on Graphs With Subspace and Smoothness Priors 2272-2286 Network Dissensus via Distributed ADMM 2287-2301 Calibration of Phase Shifter Network for Hybrid Beamforming in mmWave Massive MIMO Systems 2302-2315 Optimal Sensor Placement for 2-D Range-Only Target Localization in Constrained Sensor Geometry 2316-2327 Blind Recognition of Cyclic Codes Based on Average Cosine Conformity 2328-2339 Two-Channel Passive Detection of Cyclostationary Signals 2340-2355 Majorize-Minimize Adapted Metropolis-Hastings Algorithm 2356-2369 ImdLMS: An Imputation Based LMS Algorithm for Linear System Identification With Missing Input Data 2370-2385 Variance State Propagation for Structured Sparse Bayesian Learning 2386-2400 Comments on "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?" 2401-2403 A Closed-Form Prediction Update for Extended Target Tracking Using Random Matrices 2404-2418 Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment 2419-2434 Functional Nonlinear Sparse Models 2449-2463 Shapes From Echoes: Uniqueness From Point-to-Plane Distance Matrices 2480-2498 Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization 2513-2528 Efficient Closed-Form Solution for Moving Target Localization in MIMO Radars With Minimum Number of Antennas 2545-2557 A Generalized Version of ACE and Performance Analysis 2574-2585 Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes 2586-2597 Joint Channel and Location Estimation of Massive MIMO System With Phase Noise 2598-2612 Gaussian Process Reinforcement Learning for Fast Opportunistic Spectrum Access 2613-2628 www.signalprocessingsociety.org [6] JUNE 2020https://dx.doi.org/10.1109/TSP.2020.2982786 https://dx.doi.org/10.1109/TSP.2020.2981208 https://dx.doi.org/10.1109/TSP.2020.2981208 https://dx.doi.org/10.1109/TSP.2020.2981773 https://dx.doi.org/10.1109/TSP.2020.2982325 https://dx.doi.org/10.1109/TSP.2020.2984895 https://dx.doi.org/10.1109/TSP.2020.2984884 https://dx.doi.org/10.1109/TSP.2020.2984884 https://dx.doi.org/10.1109/TSP.2020.2985645 https://dx.doi.org/10.1109/TSP.2020.2985645 https://dx.doi.org/10.1109/TSP.2020.2981201 https://dx.doi.org/10.1109/TSP.2020.2981767 https://dx.doi.org/10.1109/TSP.2020.2983150 https://dx.doi.org/10.1109/TSP.2020.2983162 https://dx.doi.org/10.1109/TSP.2020.2983162 https://dx.doi.org/10.1109/TSP.2020.2983827 https://dx.doi.org/10.1109/TSP.2020.2985303 https://dx.doi.org/10.1109/TSP.2020.2985303 https://dx.doi.org/10.1109/TSP.2020.2984390 https://dx.doi.org/10.1109/TSP.2020.2981202 https://dx.doi.org/10.1109/TSP.2020.2982834 https://dx.doi.org/10.1109/TSP.2020.2982780 https://dx.doi.org/10.1109/TSP.2020.2983167 https://dx.doi.org/10.1109/TSP.2020.2986163 https://dx.doi.org/10.1109/TSP.2020.2986163 https://dx.doi.org/10.1109/TSP.2020.2985330 https://dx.doi.org/10.1109/TSP.2020.2984889 https://dx.doi.org/10.1109/TSP.2020.2986551 https://dx.doi.org/10.1109/TSP.2020.2986354 http://www.signalprocessingsociety.org