Table of Contents
Table of Contents
IEEE Signal Processing Society
Statistical Inference for the Expected Utility Portfolio in High Dimensions
Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations
Waveform Design for Collocated MIMO Radar With High-Mix-Low-Resolution ADCs
CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI
A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks
Bayesian Reconstruction of Fourier Pairs
Generalized Multiplexed Waveform Design Framework for Cost-Optimized MIMO Radar
On the Solvability of the Peak Value Problem for Bandlimited Signals With Applications
Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility
Ridge-Aware Weighted Sparse Time-Frequency Representation
Fast Graph Filters for Decentralized Subspace Projection
Adaptive Superresolution in Deconvolution of Sparse Peaks
Matrix-Monotonic Optimization $-$ Part II: Multi-Variable Optimization
Expectation Propagation-Based Sampling Decoding: Enhancement and Optimization
Online Topology Identification From Vector Autoregressive Time Series
Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning
Reduced-Rank L1-Norm Principal-Component Analysis With Performance Guarantees
Shrinking the Eigenvalues of M-Estimators of Covariance Matrix
Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique
Decentralized Online Convex Optimization With Event-Triggered Communications
Convolutional Neural Network-Aided Tree-Based Bit-Flipping Framework for Polar Decoder Using Imitation Learning
Network Topology Inference From Heterogeneous Incomplete Graph Signals
Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach
Time Encoding of Bandlimited Signals: Reconstruction by Pseudo-Inversion and Time-Varying Multiplierless FIR Filtering
Robust Variational-Based Kalman Filter for Outlier Rejection With Correlated Measurements
Cascaded Spline-Based Models for Complex Nonlinear Systems: Methods and Applications
Subspace-Based Estimation of Rapidly Varying Mobile Channels for OFDM Systems
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
Subspace-Constrained Array Response Estimation in the Presence of Model Errors
Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning
Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars
RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection
Importance Gaussian Quadrature
Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization
UVeQFed: Universal Vector Quantization for Federated Learning
On the Adversarial Robustness of Hypothesis Testing
Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting
Protocol-Based Tobit Kalman Filter Under Integral Measurements and Probabilistic Sensor Failures
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals
MAP Ratio Test Detector for Radar System
Zeroth-Order Diffusion Adaptive Filter Over Networks
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions
Approximate Message Passing With Unitary Transformation for Robust Bilinear Recovery
Source Localization with Feedback Beamforming
Maximum Likelihood Time Synchronization for Zero-Padded OFDM
Adaptive IQ Mismatch Compensation in Time-Domain Using Frequency-Domain Observations
Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function
The Benefits of Acting Locally: Reconstruction Algorithms for Sparse in Levels Signals With Stable and Robust Recovery Guarantees
Approximate Inference and Learning of State Space Models With Laplace Noise
Conservative Stochastic Optimization With Expectation Constraints
Adaptive Radar Detection Without Secondary Data for Uncooperative Spectrum Sharing Scenarios
Conditional and Unconditional Cramér-Rao Bounds for Near-Field Localization in Bistatic MIMO Radar Systems
Erratum to “Massive MIMO radar for target detection”
An Efficient and Flexible Spike Train Model Via Empirical Bayes
Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction
Learning-Based Predictive Transmitter-Receiver Beam Alignment in Millimeter Wave Fixed Wireless Access Links
Spatial- and Range- ISLR Trade-Off in MIMO Radar Via Waveform Correlation Optimization
Serial Quantization for Sparse Time Sequences
Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter
A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval
Multi-Sensor Track-to-Track Association and Spatial Registration Algorithm Under Incomplete Measurements
Algebraic Neural Networks: Stability to Deformations
Dilated Arrays: A Family of Sparse Arrays With Increased Uniform Degrees of Freedom and Reduced Mutual Coupling on a Moving Platform
A Neural Network Method for Nonconvex Optimization and its Application on Parameter Retrieval
Heterogeneous Multi-Sensor Fusion With Random Finite Set Multi-Object Densities
Bias Reduced Semidefinite Relaxation Method for 3-D Rigid Body Localization Using AOA
Co-Located MIMO Radar Target Detection in Cluttered and Noisy Environment Based on 2D Block Sparse Recovery
Towards Lower Precision Adaptive Filters: Facts From Backward Error Analysis of RLS
Structured LISTA for Multidimensional Harmonic Retrieval
A Novel Regularized Model for Third-Order Tensor Completion
Binary Discrete Fourier Transform and Its Inversion
FlexPD: A Flexible Framework of First-Order Primal-Dual Algorithms for Distributed Optimization
Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions
Energy Efficiency Optimization in Radar-Communication Spectrum Sharing
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
Discrete Signal Processing on Meet/Join Lattices
Time-Frequency Phase Retrieval for Audio—The Effect of Transform Parameters
A Momentum-Guided Frank-Wolfe Algorithm
Group Invariant Dictionary Learning
Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
End-to-End Transmission Analysis of Simultaneous Wireless Information and Power Transfer Using Resonant Beam
Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks
Signal Detection in Distributed MIMO Radar With Non-Orthogonal Waveforms and Sync Errors
Robust Low-Rank Tensor Completion Based on Tensor Ring Rank via $\ell _{p,\epsilon }$-Norm
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising
Deep Networks for Direction-of-Arrival Estimation in Low SNR
Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses Using Kullback-Leibler Information Criterion-Part I: Detector Designs
Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses Using Kullback-Leibler Information Criterion-Part II: Applications
Safe Linear Thompson Sampling With Side Information
Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading
Exploiting Sparsity of Ranging Biases for NLOS Mitigation
Over-the-Air Federated Learning From Heterogeneous Data
Tracking of Extended Object Using Random Matrix With Non-Uniformly Distributed Measurements
On Unlimited Sampling and Reconstruction
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation
Interpretable Generative Adversarial Networks With Exponential Function
Convergence Properties of Message-Passing Algorithm for Distributed Convex Optimisation With Scaled Diagonal Dominance
Fixed Point Strategies in Data Science
Distributed Inference With Sparse and Quantized Communication
Quantization Games on Social Networks and Language Evolution
Blind Inference of Eigenvector Centrality Rankings
Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis
Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison
Heterogeneity Aware Two-Stage Group Testing
Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval
Polar Coded Diversity on Block Fading Channels Via Polar Spectrum
Robust Spectrum Sensing Via Probability Measure Transform
Fast and Accurate Amplitude Demodulation of Wideband Signals
Efficient Direct Target Localization for Distributed MIMO Radar With Expectation Propagation and Belief Propagation
Efficient Sparse Coding Using Hierarchical Riemannian Pursuit
A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network
Generic FRI-Based DOA Estimation: A Model-Fitting Method
Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals
Cramér-Rao Bound Analysis of Underdetermined Wideband DOA Estimation Under the Subband Model via Frequency Decomposition
Online Joint State Inference and Learning of Partially Unknown State-Space Models
Matched Manifold Detection for Group-Invariant Registration and Classification of Images
Practical Precoding via Asynchronous Stochastic Successive Convex Approximation
On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps
Joint TOA and DOA Estimation With CFO Compensation Using Large-Scale Array
Data Aided MSE-Optimal Time Varying Channel Tracking in Massive MIMO Systems
Application of the Free Energy Principle to Estimation and Control
Policy Gradient Importance Sampling for Bayesian Inference
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals
Linear MIMO Precoders With Finite Alphabet Inputs via Stochastic Optimization and Deep Neural Networks (DNNs)
A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks
Enhanced Time-Frequency Representation and Mode Decomposition
Multi-Sensor Network Information for Linear-Gaussian Multi-Target Tracking Systems
Target Detection Within Nonhomogeneous Clutter Via Total Bregman Divergence-Based Matrix Information Geometry Detectors
Eavesdropper and Jammer Selection in Wireless Source Localization Networks
Maximum a Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems With Channels of Arbitrary Correlation
A Novel Framework for Combining Multiple Radar Waveforms Using Time Compression Overlap-Add
Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions
Support Recovery for Sparse Multidimensional Phase Retrieval
Learning Two-Layer ReLU Networks Is Nearly as Easy as Learning Linear Classifiers on Separable Data
Stochastic Graph Neural Networks
Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays
On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach
Spatial-Slepian Transform on the Sphere
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems
Time Domain Sampling of the Radial Functions in Spherical Harmonics Expansions
Robust Sensor Placement for Signal Extraction
Multi-Layer Bilinear Generalized Approximate Message Passing
Performance Analysis of the Generalized Likelihood Ratio Test in General Phased Array Radar Configuration
Correction to “Information Geometric Approach to Multisensor Estimation Fusion”
Low-Complexity Scaling Methodsfor DCT-II Approximations
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
Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems
Temporal Parallelization of Inference in Hidden Markov Models
Editorial A (Belated) Message From the New EiC
A Robust Wavenumber-Domain Superdirective Beamforming for Endfire Arrays
On the Convergence Behavior of Partitioned-Block Frequency-Domain Adaptive Filters
Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
A Robust Decision Directed Algorithm for Blind Equalization Under $\alpha$-Stable Noise
Graphon Signal Processing
Real-Valued Sparse Bayesian Learning for DOA Estimation With Arbitrary Linear Arrays
Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses
Complexity Blowup in Simulating Analog Linear Time-Invariant Systems on Digital Computers
Adaptive Savitzky-Golay Filtering in Non-Gaussian Noise
Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms
Balanced Neural Architecture Search and Its Application in Specific Emitter Identification
Robust Beamforming Design for Magnetic MIMO Wireless Power Transfer Systems
Manifold Optimization for High-Accuracy Spatial Location Estimation Using Ultrasound Waves
Decomposing Non-Stationary Signals With Time-Varying Wave-Shape Functions
Optimal Data Detection and Signal Estimation in Systems With Input Noise
Blind Reconstruction of BCH and RS Codes Using Single-Error Correction
Maximum Likelihood Optimization of Adaptive Asynchronous Interference Mitigation Beamformer
A Novel Low-Complexity GFDM Relay Communication System: Relay Selection and Filter-and-Forward
Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter
Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models
Mixed Membership Graph Clustering via Systematic Edge Query
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
A Generalized Walsh System and Its Fast Algorithm
A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning
Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ
Fast Numerical Computation of Two-Dimensional Non-Separable Linear Canonical Transform Based on Matrix Decomposition
Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization
Time Undersampled Acquisition for Multidimensional Sparse Signals With Application to Magnetic Resonance Spectroscopic Imaging
Exploring the Geometry of One-Dimensional Signals
Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection
Distributed Multi-Object Tracking Under Limited Field of View Sensors
Augmented Covariance Matrix Reconstruction for DOA Estimation Using Difference Coarray
MIMO Radar Waveform Design for Multipath Exploitation
Misspecified Cramer–Rao Bounds for Blind Channel Estimation Under Channel Order Misspecification
Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds
Task-Based Analog-to-Digital Converters
Frequency-Domain Diffusion Adaptation Over Networks
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network
Bayesian Channel Estimation in Multi-User Massive MIMO With Extremely Large Antenna Array
Linear Regression With Distributed Learning: A Generalization Error Perspective
Distributed and Quantized Online Multi-Kernel Learning
Marginal Likelihood Maximization Based Fast Array Manifold Matrix Learning for Direction of Arrival Estimation
Computable Time Concentration of Bandlimited Signals and Systems
Diffusion SLAM: Localizing Diffusion Sources From Samples Taken by Location-Unaware Mobile Sensors
On the Adversarial Robustness of LASSO Based Feature Selection
Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems
Optimal Feature Manipulation Attacks Against Linear Regression
Finite-Alphabet Symbol-Level Multiuser Precoding for Massive MU-MIMO Downlink
Tracking Cells and Their Lineages Via Labeled Random Finite Sets
Information-Theoretic Interactive Sensing and Inference for Autonomous Systems
Dimension Reduction of Polynomial Regression Models for the Estimation of Granger Causality in High-Dimensional Time Series
LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers
Product Graph Learning From Multi-Domain Data With Sparsity and Rank Constraints
Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes
Reconfigurable Intelligent Surface for Massive Connectivity: Joint Activity Detection and Channel Estimation
Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets
Near-Field Tracking With Large Antenna Arrays: Fundamental Limits and Practical Algorithms
Over-the-Air Computation in Correlated Channels
Multi-Sensor Spatial Association Using Joint Range-Doppler Features
Phase Retrieval Using Expectation Consistent Signal Recovery Algorithm Based on Hypernetwork
Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems
Adaptive Frequency-Domain Normalized Implementations of Widely-Linear Complex-Valued Filter
Efficient Node Selection Strategy for Sampling Bandlimited Signals on Graphs
Tensor-Based Near-Field Localization Using Massive Antenna Arrays
A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm
Joint Nonlinear Sparse Error Correction for Robust State Estimation
Multi-Sensor Filtering Fusion With Parametric Uncertainties and Measurement Censoring: Monotonicity and Boundedness
Radar and Communication Spectral Coexistence in Range-Dependent Interference
Time of Arrival and Angle of Arrival Estimation Algorithm in Dense Multipath
Structured Covariance Matrix Estimation With Missing-(Complex) Data for Radar Applications via Expectation-Maximization
Enhanced DOA Estimation Exploiting Multi-Frequency Sparse Array
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning
Robust State Estimation for Linear Systems Under Distributional Uncertainty
Gaussian Variational State Estimation for Nonlinear State-Space Models
Space-Time Coding Technique for Coherent Frequency Diverse Array
Set Squeezing Procedure for Quadratically Perturbed Chance-Constrained Programming
A Unified Framework for Multistatic Passive Radar Target Detection Under Uncalibrated Receivers
The Wasserstein-Fourier Distance for Stationary Time Series
Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvalues
Matrix-Monotonic Optimization $-$ Part I: Single-Variable Optimization
Impact of Covariance Mismatched Training Samples on Constant False Alarm Rate Detectors
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
Binary MIMO Detection via Homotopy Optimization and Its Deep Adaptation
Cooperative Field Prediction and Smoothing via Covariance Intersection
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
Comments on “Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks”
Template Adaptation of 2D Quasi-Periodic Data Using a Soft-Assign Localized Correspondence Matrix
Multiuser Full-Duplex Two-Way Communications via Intelligent Reflecting Surface
Probability of Resolution of Partially Relaxed Deterministic Maximum Likelihood: An Asymptotic Approach
Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing
Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter
Solving High-Order Portfolios via Successive Convex Approximation Algorithms
Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data
Community Detection and Matrix Completion With Social and Item Similarity Graphs
Dynamic Online Learning via Frank-Wolfe Algorithm
Polynomial GSVD Beamforming for Two-User Frequency-Selective MIMO Channels
A Novel Wave Decomposition for Oscillatory Signals
Detection of the Number of Signals by Signal Subspace Matching
Decentralized Blockchain-Based Dynamic Spectrum Acquisition for Wireless Downlink Communications
Compressed Gradient Methods With Hessian-Aided Error Compensation
On Accurate Source Enumeration: A New Bayesian Information Criterion
Allpass Feedback Delay Networks
Discrete Signal Processing with Set Functions
Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems
Learning Strategies for Radar Clutter Classification
Minimum-Degree Distributed Graph Filter Design
Supervised Learning and Canonical Decomposition of Multivariate Functions
The Restless Hidden Markov Bandit With Linear Rewards and Side Information
Shallow Underwater Acoustic Massive MIMO Communications
PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data
Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior
Non-Bayesian Estimation Framework for Signal Recovery on Graphs
A Riemannian Framework for Low-Rank Structured Elliptical Models
Multiple Importance Sampling for Symbol Error Rate Estimation of Maximum-Likelihood Detectors in MIMO Channels
Blind Localization of Early Room Reflections Using Phase Aligned Spatial Correlation
High-Speed User-Centric Beampattern Synthesis via Frequency Diverse Array
Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate
Distributed Learning in Non-Convex Environments— Part II: Polynomial Escape From Saddle-Points
Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization
Uplink Sensing in Perceptive Mobile Networks With Asynchronous Transceivers
Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication
Bilinear Channel Estimation for MIMO OFDM: Lower Bounds and Training Sequence Optimization
Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost
Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer
Decentralized Learning With Lazy and Approximate Dual Gradients
Randomized Stepped Frequency Radars Exploiting Block Sparsity of Extended Targets: A Theoretical Analysis
Phase Retrieval for Partially Coherent Observations
Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission
Digraph Signal Processing With Generalized Boundary Conditions
Exploiting Relevance for Online Decision-Making in High-Dimensions
A Multi-Taper S-Transform Method for Spectral Estimation of Stationary Processes
The JM-Filter to Detect Specific Frequency in Monitored Signal
Grade Prediction From Multi-Valued Click-Stream Traces via Bayesian-Regularized Deep Neural Networks
Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory
Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA
Optimal Restricted Isometry Condition of Normalized Sampling Matrices for Exact Sparse Recovery With Orthogonal Least Squares
A Depth-First Iterative Algorithm for the Conjugate Pair Fast Fourier Transform
Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel
Spectrally-Agile Waveform Design for Wideband MIMO Radar Transmit Beampattern Synthesis via Majorization-ADMM
Cyclostationary Processes With Evolving Periods and Amplitudes
An Efficient Power Allocation Strategy for Maneuvering Target Tracking in Cognitive MIMO Radar
Power Allocation for Coexisting Multicarrier Radar and Communication Systems in Cluttered Environments
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization
Filtering in Pairwise Markov Model With Student's t Non-Stationary Noise With Application to Target Tracking
Target Localization Geometry Gain in Distributed MIMO Radar
An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis
Corrections to “Set Squeezing Procedure for Quadratically Perturbed Chance-Constrained Programming”
Regularized Local Basis Function Approach to Identification of Nonstationary Processes
Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution
Sparse Symmetric Linear Arrays With Low Redundancy and a Contiguous Sum Co-Array
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks
Distributed Nonlinear Polynomial Graph Filter and Its Output Graph Spectrum: Filter Analysis and Design
Graphon Filters: Graph Signal Processing in the Limit
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering
Sparse-Group Lasso for Graph Learning From Multi-Attribute Data
Quantizer Design to Exploit Common Information in Layered and Scalable Coding
Band-Stop Smoothing Filter Design
Reconstructing Point Sets From Distance Distributions
Globally Convergent Gradient Projection Type Algorithms for a Class of Robust Hypothesis Testings
An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization
General Cauchy Conjugate Gradient Algorithms Based on Multiple Random Fourier Features
The Interference Channel Revisited: Aligning Interference by Adjusting Antenna Separation
Efficient Sensor Placement for Signal Reconstruction Based on Recursive Methods
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement
Random Matrix Based Extended Target Tracking With Orientation: A New Model and Inference
Constrained Radar Waveform Design for Range Profiling
A Stochastic Model for Characterizing Fluctuations in Chemical Sensing
Frequency Domain Analysis and Equalization for Molecular Communication
Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks
S$^2$H Domain Processing for Acoustic Source Localization and Beamforming Using Microphone Array on Spherical Sector
Tensor RNN With Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition
Online Deep Neural Networks for MmWave Massive MIMO Channel Estimation With Arbitrary Array Geometry
Optimal Sampling of a Bandlimited Noisy Multiple Output Channel
Fast Signal Recovery From Quadratic Measurements
Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection
Robust Subspace Tracking With Missing Data and Outliers: Novel Algorithm With Convergence Guarantee
SVM-Based Channel Estimation and Data Detection for One-Bit Massive MIMO Systems
Construction of Golay Complementary Matrices and Its Applications to MIMO Omnidirectional Transmission
Joint Dimension Assignment and Compression for Deterministic Parameter Vector Estimation in Distributed Multisensor Networks
Sparse Phase Retrieval Via PhaseLiftOff
Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays
Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers
Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information
Fixed-Point Maximum Total Complex Correntropy Algorithm for Adaptive Filter
Polar-Coded Spatial Modulation
Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices
Null Space Component Analysis of One-Shot Single-Channel Source Separation Problem
Minimax Robust Detection: Classic Results and Recent Advances
Cramér-Rao Bound for Estimation After Model Selection and Its Application to Sparse Vector Estimation
Adaptive Sparse Array Beamformer Design by Regularized Complementary Antenna Switching
SR2CNN: Zero-Shot Learning for Signal Recognition
Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization
Incoherence is Sufficient for Statistical RIP of Unit Norm Tight Frames: Constructions and Properties
mmWave Channel Estimation via Compressive Covariance Estimation: Role of Sparsity and Intra-Vector Correlation
Memory-Constrained No-Regret Learning in Adversarial Multi-Armed Bandits
Directionally Weighted Wave Field Estimation Exploiting Prior Information on Source Direction
Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number
Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network
Distributed Design of Robust Kalman Filters Over Corrupted Channels
Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach
Generalized Canonical Correlation Analysis: A Subspace Intersection Approach
A Smart Pilot Assignment in Multi-Cell Massive MIMO Systems Using Virtual Modeling of Assigning Cost
Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G
Dynamic System Fault Diagnosis Under Sparseness Assumption
Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization
Localization With One-Bit Passive Radars in Narrowband Internet-of-Things Using Multivariate Polynomial Optimization
An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning
Time- and Frequency-Interleaving: Distinctions and Connections
Enhanced Propriety-Based I/Q Imbalance Compensation in LTE/NR Receivers
Graph Signal Processing Meets Blind Source Separation
A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets
Distributed Convex Optimization With State-Dependent (Social) Interactions and Time-Varying Topologies
Large-Dimensional Characterization of Robust Linear Discriminant Analysis
Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
Optimal Sequential Detection of Signals With Unknown Appearance and Disappearance Points in Time
Deep Learning Enabled Semantic Communication Systems
On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise
A Joint TOA and DOA Acquisition and Tracking Approach for Positioning With LTE Signals
Throughput Maximization for Intelligent Reflecting Surface Aided MIMO WPCNs With Different DL/UL Reflection Patterns
Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid
A Linear Algorithm for Multi-Target Tracking in the Context of Possibility Theory
Joint Radar-Communication Transmission: A Generalized Pareto Optimization Framework
Simultaneous Mobile Information and Power Transfer by Resonant Beam
Signals Featuring Harmonics With Random Frequencies – Spectral, Distributional and Ergodic Properties
Radar Waveform Design Under Communication Sum Capacity Constraint
Optimal Stealthy Linear-Attack Schedules on Remote State Estimation
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar
Safety Analysis of Long-Range and High-Power Wireless Power Transfer Using Resonant Beam
Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM
Novel Codebook Design for Channel State Information Quantization in MIMO Rician Fading Channels With Limited Feedback
Decision Learning and Adaptation Over Multi-Task Networks
Third-Order Statistics Reconstruction From Compressive Measurements
Optimal Fractional Fourier Filtering for Graph Signals
Nonuniform Sampling Rate Conversion:An Efficient Approach
Epigraphical Relaxation for Minimizing Layered Mixed Norms
Space-Time Adaptive Detection at Low Sample Support
Limited Feedforward Waveform Design for OFDM Dual-Functional Radar-Communications
An Efficient Detector for Massive MIMO Based on Improved Matrix Partition
Designing Unimodular Sequences With Optimized Auto/Cross-Correlation Properties via Consensus-ADMM/PDMM Approaches
Two-Stage Stochastic Optimization Via Primal-Dual Decomposition and Deep Unrolling
Unified IRS-Aided MIMO Transceiver Designs via Majorization Theory
Hybrid Sparse Expansion and Separable Hybrid Prony Method
Distributed Sequential Hypothesis Testing With Byzantine Sensors
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization
A Machine Learning Approach to DoA Estimation and Model Order Selection for Antenna Arrays With Subarray Sampling
Target Localization and Clock Refinement in Distributed MIMO Radar Systems With Time Synchronization Errors
On the Tracking Performance of Adaptive Filters and Their Combinations
Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces
Joint Estimation of Velocity, Angle-of-Arrival and Range (JEVAR) Using a Conjugate Pair of Zadoff-Chu Sequences
Unitary Approximate Message Passing for Sparse Bayesian Learning
MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function
FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data
Mismatched Data Detection in Massive MU-MIMO
Exploiting Information About the Structure of Signals of Opportunity for Passive Radar Performance Increase
Synthesis of Linear-Phase FIR Filters With a Complex Exponential Impulse Response
MVDR Beamformer Design by Imposing Unit Circle Roots Constraints for Uniform Linear Arrays
Two-Stage Bayesian Sequential Change Diagnosis
Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data
On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
Federated Learning With Spiking Neural Networks
Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity
Frequency Diverse Array Signal Optimization: From Non-Cognitive to Cognitive Radar
Decision Making in Star Networks With Incorrect Beliefs
A Fast Algorithm for Fractional QCQP and Applications to Secure Beamforming in Cognitive Nonorthogonal Multiple Access Networks
Tensor-Based Joint Channel Estimation and Symbol Detection for Time-Varying mmWave Massive MIMO Systems
BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization
Scalable Detection and Tracking of Geometric Extended Objects
Gradual Federated Learning With Simulated Annealing
Signal Source Distribution Approximation to Speedup Scalar Quantizer Design
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising
Discrete Time $q$-Lag Maximum Likelihood FIR Smoothing and Iterative Recursive Algorithm
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation
Deep Learning Model-Aware Regulatization With Applications to Inverse Problems
Octonion Short-Time Fourier Transform for Time-Frequency Representation and Its Applications
Comments on “Localization of Near-Field Sources Based on Linear Prediction and Oblique Projection Operator”
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling
A Quasi-Coherent Detection Framework for Mobile Multi-Agent Networks
ULA Fitting for Sparse Array Design
Adaptive Filters With Robust Augmented Space Linear Model: A Weighted $k$-NN Method
Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning
Analysis of Propagation Delay Effects on Bearings-Only Fusion of Heterogeneous Sensors
Frequency Estimation for Zero-Padded Signal Based on the Amplitude Ratio of Two DFT Samples
Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering
List of Reviewers
2021 Index IEEE Transactions on Signal Processing Vol. 69
