Sharper -D Heisenberg's Uncertainty Principle 1665-1669 Neural Full-Rank Spatial Covariance Analysis for Blind Source Separation CSANet for Video Semantic Segmentation With Inter-Frame Mutual Learning Convex Nonparanormal Regression 3D Shape Estimation With an Enhanced Sparse Representation Approach An Uncertainty-Aware Performance Measure for Multi-Object Tracking Constructions of Optimal Binary Z-Complementary Sequence Sets With Large Zero Correlation Zone Threshold Setting of Generalized Likelihood Ratio Test for Impropriety of Complex Signals Missing-Data Nonparametric Coherency Estimation Estimating Polynomial Coefficients to Correct Improperly White-Balanced sRGB Images DOA Estimation With Nonuniform Moving Sampling Scheme Based on a Moving Platform Gaussian Model for 3D Mesh Steganography A Dual Rank-Constrained Filter Pruning Approach for Convolutional Neural Networks Sparse Bayesian Learning Using Generalized Double Pareto Prior for DOA Estimation Visual Saliency via Selecting and Reweighting Features in Hierarchical Fusion Network Two-Stage Learning and Fusion Network With Noise Aware for Time-Domain Monaural Speech Enhancement Robust Adaptive Beamforming via Covariance Matrix Reconstruction Under Colored Noise Computationally Efficient Two-Dimensional DOA Estimation Algorithm Based on Quaternion Theory Cyclic Defense GAN Against Speech Adversarial Attacks Searching for Unknown Anomalies in Hierarchical Data Streams Null Space Property of Minimization With Prior Support Information EDICS Information for Authors 1670-1674 1675-1679 1680-1684 1685-1688 1689-1693 1694-1698 1699-1703 1704-1708 1709-1713 1714-1718 1729-1733 1734-1738 1744-1748 1749-1753 1754-1758 1759-1763 1764-1768 1769-1773 1774-1778 1779-1783 www.signalprocessingsociety.org [22] OCTOBER 2021https://dx.doi.org/10.1109/LSP.2021.3101114 https://dx.doi.org/10.1109/LSP.2021.3101699 https://dx.doi.org/10.1109/LSP.2021.3103666 https://dx.doi.org/10.1109/LSP.2021.3102849 https://dx.doi.org/10.1109/LSP.2021.3104088 https://dx.doi.org/10.1109/LSP.2021.3103488 https://dx.doi.org/10.1109/LSP.2021.3104739 https://dx.doi.org/10.1109/LSP.2021.3104739 https://dx.doi.org/10.1109/LSP.2021.3105042 https://dx.doi.org/10.1109/LSP.2021.3105926 https://dx.doi.org/10.1109/LSP.2021.3102527 https://dx.doi.org/10.1109/LSP.2021.3105035 https://dx.doi.org/10.1109/LSP.2021.3107777 https://dx.doi.org/10.1109/LSP.2021.3101670 https://dx.doi.org/10.1109/LSP.2021.3104503 https://dx.doi.org/10.1109/LSP.2021.3104757 https://dx.doi.org/10.1109/LSP.2021.3105925 https://dx.doi.org/10.1109/LSP.2021.3105925 https://dx.doi.org/10.1109/LSP.2021.3105930 https://dx.doi.org/10.1109/LSP.2021.3106150 https://dx.doi.org/10.1109/LSP.2021.3106150 https://dx.doi.org/10.1109/LSP.2021.3106239 https://dx.doi.org/10.1109/LSP.2021.3106587 https://dx.doi.org/10.1109/LSP.2021.3106809 https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/edics https://www.signalprocessingsociety.org/publications-resources/ieee-signal-processing-letters/information-authors-spl http://www.signalprocessingsociety.org