Low-Complexity Scaling Methodsfor DCT-II Approximations 4557-4566 A New Method of Integer Parameter Estimation in Linear Models With Applications to GNSS High Precision Positioning Generalized Non-Redundant Sparse Array Designs Channel Estimation and Pilot Symbol Optimization Based on Intrinsic Interference Utilization for OQAM/FBMC Systems Distributed Algorithms for Array Signal Processing Differentiable Bi-Sparse Multi-View Co-Clustering Communication-Adaptive Stochastic Gradient Methods for Distributed Learning Joint Power Allocation and Distributed Equalization Design for OFDM-Based Filter-and-Forward Two-Way Multi-Relay Networks PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks Widely-Linear Processing for the Uplink of the Massive MIMO With IQ Imbalance: Channel Estimation and Data Detection Continuous-Discrete Multiple Target Tracking With Out-of-Sequence Measurements Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model Robust Two-Sample Location Testing via Probability Measure Transform Deep Scattering Network With Fractional Wavelet Transform Corrections to " Sparse-Group Lasso for Graph Learning From Multi-Attribute Data " Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning Generalized Multiview Shared Subspace Learning Using View Bootstrapping Performance Analysis of Joint Range-Velocity Estimator With 2D-MUSIC in OFDM Radar Phase Transitions in Frequency Agile Radar Using Compressed Sensing HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise Fair Principal Component Analysis and Filter Design Resource Allocation for Multitarget Tracking and Data Reduction in Radar Network With Sensor Location Uncertainty 4567-4579 4580-4594 4595-4606 4607-4622 4623-4636 4637-4651 4652-4668 4669-4684 4685-4698 4699-4709 4710-4723 4724-4739 4740-4757 4758 4759-4773 4774-4786 4787-4800 4801-4818 4819-4834 4835-4842 4843-4858 www.signalprocessingsociety.org [2] OCTOBER 2021https://dx.doi.org/10.1109/TSP.2021.3099623 https://dx.doi.org/10.1109/TSP.2021.3100929 https://dx.doi.org/10.1109/TSP.2021.3100929 https://dx.doi.org/10.1109/TSP.2021.3100977 https://dx.doi.org/10.1109/TSP.2021.3101829 https://dx.doi.org/10.1109/TSP.2021.3101829 https://dx.doi.org/10.1109/TSP.2021.3101015 https://dx.doi.org/10.1109/TSP.2021.3101979 https://dx.doi.org/10.1109/TSP.2021.3099977 https://dx.doi.org/10.1109/TSP.2021.3078093 https://dx.doi.org/10.1109/TSP.2021.3078093 https://dx.doi.org/10.1109/TSP.2021.3096804 https://dx.doi.org/10.1109/TSP.2021.3102490 https://dx.doi.org/10.1109/TSP.2021.3102490 https://dx.doi.org/10.1109/TSP.2021.3100999 https://dx.doi.org/10.1109/TSP.2021.3077302 https://dx.doi.org/10.1109/TSP.2021.3077302 https://dx.doi.org/10.1109/TSP.2021.3092380 https://dx.doi.org/10.1109/TSP.2021.3098936 https://dx.doi.org/10.1109/TSP.2021.3104727 https://dx.doi.org/10.1109/TSP.2021.3099643 https://dx.doi.org/10.1109/TSP.2021.3099643 https://dx.doi.org/10.1109/TSP.2021.3102751 https://dx.doi.org/10.1109/TSP.2021.3103324 https://dx.doi.org/10.1109/TSP.2021.3099629 https://dx.doi.org/10.1109/TSP.2021.3104979 https://dx.doi.org/10.1109/TSP.2021.3099983 https://dx.doi.org/10.1109/TSP.2021.3101018 https://dx.doi.org/10.1109/TSP.2021.3101018 http://www.signalprocessingsociety.org