IEEE Transactions on Signal Processing

Article	Citations
Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks	173
Decentralized Multitask Online Convex Optimization Under Random Link Failures	159
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments	141
Theoretical Bounds in Decentralized Hypothesis Testing	139
Learning Graph ARMA Processes From Time-Vertex Spectra	126
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals	114
Frequency Domain Joint-Normalized Stochastic Gradient Projection-Based Algorithm for Widely Linear Quaternion-Valued Adaptive Filtering	110
Phase Retrieval of Quaternion Signal via Wirtinger Flow	103
Zonotopic Distributed Fusion Filtering for 2-D Nonlinear Systems Over Sensor Networks: A Channel-Based Bit Rate Constraint	80
Nonlinear Estimation Using Multiple Conversions With Optimized Extension for Target Tracking	70
Robust Wideband Beampattern Synthesis With Precise Control of Worst-Case Beampattern	68
Longtime Adaptive Coherent Detection in Heterogeneous Compound-Gaussian Sea Clutter	68
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction	68
Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks	65
L${}_{\text{2}}$min${}^{\text{2/2s}}$: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs	64
Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design	63
6D Rigid Body Localization and Velocity Estimation via Gaussian Belief Propagation	61
Fast and Robust Sparsity-Aware Block Diagonal Representation	60
Tensor Completion Network for Visual Data	57
Over-the-Air Computation on Network Edge for Collaborative Estimation	57
Third-Order Sum-Difference Expansion: An Array Extension Strategy Based on Third-Order Cumulants	56
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery	56
Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems	54
Joint Data Compression and Time-Delay Estimation for Distributed Systems via Extremum Encoding	53
Parametric Joint Target Detection and Localization Using Message Passing for Distributed Passive MIMO Radar	51

Third-Order Nested Array: An Optimal Geometry for Third-Order Cumulants Based Array Processing	49
Sampling and Uniqueness Sets in Graphon Signal Processing	47
Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking	47
NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts	45
Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise	45
Rao, Wald, and Gradient Tests for Adaptive Detection of Swerling I Targets	43
RTSNet: Learning to Smooth in Partially Known State-Space Models	43
Unsupervised Learning of Sampling Distributions for Particle Filters	43
Three-Dimensional Localization of Mixed Near-Field and Far-Field Sources Based on a Unified Exact Propagation Model	42
Einstein From Noise: Statistical Analysis	42
A General Compressive Sensing Construct Using Density Evolution	39
A Generalized Multidimensional Chinese Remainder Theorem (MD-CRT) for Multiple Integer Vectors	38
A Sparse Fixed-Point Online KPCA Extraction Algorithm	38
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design	38
A $\mathcal{K}$-Divergence Based Approach for Robust Regression Analysis	38
The Adaptive $\tau$-Lasso: Robustness and Oracle Properties	38
Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion	37
Graph Signal Processing Over a Probability Space of Shift Operators	37
One-Bit Target Detection in Colocated MIMO Radar With Colored Background Noise	37
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning	37
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares	36
Learning Graphons From Data: Random Walks, Transfer Operators, and Spectral Clustering	36
Radar Space-Time Domino-Sparse-Pulse Feedback Beampattern Synthesis	36
Learning State-Augmented Policies for Information Routing in Communication Networks	36
Robust Low-Rank Matrix Recovery via Hybrid Ordinary-Welsch Function	36
Universal Hole-Filling Strategies for Coprime Arrays	35
Integrated Localization and Communication With Sparse MIMO: Will Virtual Array Technology Also Benefit Wireless Communication?	33
Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition	33
Temperature Control for Cyber-Physical Thermal Systems over Wireless Networks: A Model-Assisted Deep Reinforcement Learning Approach	32
Theory and Practice of Light-Weight Sequential SBL Algorithm: An Alternative to OMP	32
Orthogonal Approximate Message Passing for Double Linear Transformation Model	32
One-Bit Channel Estimation for IRS-Aided Millimeter-Wave Massive MU-MISO System	31
Rank-Revealing Bayesian Block-Term Tensor Completion With Graph Information	31
TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method	31
Leveraging Low-Rank Factorizations of Conditional Correlation Matrices in Graph Learning	31
Guaranteed Private Communication With Secret Block Structure	31
Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions	31
Treating the Filter Weights as Learnable Functions: An Efficient Nonlinear Filtering Framework and Its Adaptive Algorithms	30
Convex Quaternion Optimization for Signal Processing: Theory and Applications	30
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering	30
Energy-Efficient Optimal Denial-of-Service Attack Schedule Against Transmission Over Interactive Networks	30
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems	29
Efficient Transceiver Design for MIMO Dual-Function Radar-Communication Systems	29
Optimal Transport Based Impulse Response Interpolation in the Presence of Calibration Errors	29
Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications	29
Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements	29
Graph Filters for Signal Processing and Machine Learning on Graphs	29
Confined Orthogonal Matching Pursuit for Sparse Random Combinatorial Matrices	28
On Properties and Structure of the Analytic Singular Value Decomposition	28
Edgewise Outliers of Network Indexed Signals	28

Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach	28
Multi-Channel Factor Analysis: Identifiability and Asymptotics	28
Doubly Adaptive Social Learning	27
Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics	27
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers	27
DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup	27
Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment	27
Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach	27
Simplicial Vector Autoregressive Models	27
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation	27
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning	26
A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models	26
Theoretical Insights and Practical Algorithms for Transceiver Design of PMCW Radar	26
Grid-Based Bayesian Filters With Functional Decomposition of Transient Density	26
Graph Neural Networks Over the Air for Decentralized Tasks in Wireless Networks	26
Toward Mixed Analog-Digital Quantum Signal Processing: Quantum AD/DA Conversion and the Fourier Transform	26
MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition	26
Distributed Policy Gradient for Linear Quadratic Networked Control With Limited Communication Range	26
On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation	25
Generalized Unitary Approximate Message Passing for Double Linear Transformation Model	25
Enhancing Missing Data Imputation of Non-Stationary Oscillatory Signals With Harmonic Decomposition	25
A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms	24
Tracking Control for Stochastic Learning Systems Over Changing Durations	24
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach	24
Channel Estimation and Beamforming for Beyond Diagonal Reconfigurable Intelligent Surfaces	24
On the Characteristics of the Conjugate Function Enabling Effective Dual Decomposition Methods	24
Learning Resilient Radio Resource Management Policies With Graph Neural Networks	24
Generalized Channel Probing and Generalized Pre-Processing for Secret Key Generation	24
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO	24
Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods	23
Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization	23
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent	23
Probabilistically Robust Design of Radar Waveform-Filter for Extended Target Detection in the Presence of Clutter	23
Variable Step-Size General Bias-Compensated M-estimate Adaptive Filtering for Robust DOA Estimation	23
Efficient Distributed Randomized Iterative Detection for Decentralized XL-MIMO Systems	23
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games	23
A Fast Robust Adaptive Filter Using Improved Data-Reuse Method	23
Projection-Based Multiple Notch Filtering	22
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs	22
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration	22
Localized Distributional Robustness in Submodular Multi-Task Subset Selection	22
Outlier Censoring via Block Sparse Learning	22
Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors	22
Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario	22
Transdimensional Model Learning With Online Feature Selection Based on Predictive Least Squares	22
QoS-Based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality	21
Regularized Linear Regression via Covariance Fitting	21
External Division of Two Proximity Operators—Part II: Generalization and Properties	21
Joint Compression and Multiuser Equalization for Multi-Carrier Massive MIMO Systems With Decentralized Baseband Processing	21
Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization	21
An Optimal Pairwise Merge Algorithm Improves the Quality and Consistency of Nonnegative Matrix Factorization	21
Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions	21
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments	21
Upper Bound of Null Space Constant $\rho(p,t,A,k)$ and High-Order Restricted Isometry Constant $\delta_{tk}$ for Sparse Recovery via $\ell_{p}$ Minimization	21
On Stochastic Beamforming for Ergodic Sum-Rate Maximization in Cooperative Transmission Systems	21
Infinite Factorial Linear Dynamical Systems for Transient Signal Detection	21
D2CN: Distributed Deep Convolutional Network	21
Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems	20
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding	20
DINE: Decentralized Inexact Newton With Exact Linear Convergence Rate	20
Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels	20
List of Reviewers	20
A Unified Framework for STAR-RIS Coefficients Optimization	20
A Generalized Approach for Recovering Time Encoded Signals With Finite Rate of Innovation	20
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment	20
Direct Target Localization for Distributed Passive Radars With Direct-Path Interference Suppression	20
Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer Generalized Approximate Message Passing Method	20
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression	20
Generalized Matched Filter for Radar Range Sidelobe Suppression: An Oblique Projection Approach	20
Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter	20
Online Bayesian Learning and Inference for OTHR Target Tracking and Registration	20
Efficient-Adam: Communication-Efficient Distributed Adam	20
Large-Scale Independent Vector Analysis (IVA-G) via Coresets	19
Learning Sinkhorn Divergences for Change Point Detection	19
Joint Node Selection and Resource Allocation Optimization for Cooperative Sensing With a Shared Wireless Backhaul	19
An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal	19
Adaptive Model Pruning and Personalization for Federated Learning Over Wireless Networks	19
A New Ridge Detector Localizing Strong Interference in Multicomponent Signals in the Time-Frequency Plane	19
FedCanon: Non-Convex Composite Federated Learning With Efficient Proximal Operation on Heterogeneous Data	19
Multi-Resolution Autonomous Linear State Space Filters for N-Dimensional Signals	19

Beamforming Design for Minimizing the Signal Power Estimation Error	19
Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning	19
Beamfocusing Capabilities of a Uniform Linear Antenna Array in the Holographic Regime	19
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models	19
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions	19
STSyn: Speeding Up Local SGD With Straggler-Tolerant Synchronization	19
Time-Varying Graph Learning for Data With Heavy-Tailed Distribution	19
Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization	19
Simultaneous Active and Passive Information Transfer for RIS-Aided MIMO Systems: Iterative Decoding and Evolution Analysis	19
Causal Link Discovery With Unequal Edge Error Tolerance	18
Nested Tensor-Based Integrated Sensing and Communication in RIS-Assisted THz MIMO Systems	18
Fractional Programming for Stochastic Precoding Over Generalized Fading Channels	18
A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization	18
Exploration on 2D DOA Estimation of Linear Array Motion: Uniform and Sparse Circular Motion	18
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification	18
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning With Data Heterogeneity	18
New Restricted Isometry Property Analysis for $\ell_{1}$-$\alpha\ell_{2}$ Minimization	18
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems	18
Distributionally Robust Adaptive Beamforming	18
Diffusion Bayesian Decorrelation Algorithms Over Networks	17
Secure Degree of Freedom of Wireless Networks Using Collaborative Pilots	17
A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks	17
A Globally Convergent Algorithm for Linear Minimax Regret Estimation of Deterministic Parameters with Bounded Data Uncertainties	17
Angular Parameter Estimation for Incoherently Distributed Sources With Single RF Chain	17
Super-Resolution Channel Estimation for RIS-Aided Multi-User mmWave Systems: Dictionary Adaptation and Error Modeling	17
Bayesian Deep Learning via Expectation Maximization and Turbo Deep Approximate Message Passing	17
Robust Gaussian Mixture Modeling: A $\mathcal{K}$-Divergence Based Approach	17
Channel Estimation for RIS Assisted Wireless Communications: Stationary or Non-Stationary?	17
Learning by Transference: Training Graph Neural Networks on Growing Graphs	17
Joint Transmit and Receive Wideband Beamforming for Spatial SIC in STAR Phased Array Systems	17
Parameter Estimation on Homogeneous Spaces	17
Over-the-Air Multitask Federated Learning via Cost-Effective Hybrid Beamforming	16
Sequential Estimation of Gaussian Process-Based Deep State-Space Models	16
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation	16
Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio	16
Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection	16
Differential Error Feedback for Communication-Efficient Decentralized Learning	16
Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA	16
Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback	16
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models	16
Active Sensing for Reciprocal MIMO Channels	16
Byzantine Attacks in Over-the-Air Cooperative Sensing Networks: Analysis and Defense	15
Near-Field Wideband Secure Communications: An Analog Beamfocusing Approach	15
Directed Acyclic Graph Convolutional Networks	15
Compute-Update Federated Learning: A Lattice Coding Approach	15
Adaptive DOA Estimation Method Based on Frequency Agile Radar With Joint Transmit-Receive Processing	15
Asymmetric Beampattern Synthesis for Rectangular Planar Array via Window Function Design	15
UNO: Unlimited Sampling Meets One-Bit Quantization	15
Parametric Minimum Error Entropy Criterion: A Case Study in Blind Sensor Fusion and Regression Problems	15
Joint Design of FDA Waveform and Receive Filter for Integrated Detection and Countermeasure	15
Globally Optimal Max-Min Rate Joint Channel and Power Allocation for Hybrid NOMA-OMA Downlink Systems	15
Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays	15
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization	15
Lie Group Algebra Convolutional Filters	15
Graph Chirp Signal and Graph Fractional Vertex–Frequency Energy Distribution	14
Robust Two-Tier Beamforming for Distributed Signal Sensing	14
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters	14
The Mean of Multi-Object Trajectories	14
Online Federated Reproduced Gradient Descent With Time-Varying Global Optima	14
Linear Convergence of Plug-and-Play Algorithms With Kernel Denoisers	14
Track-MDP: Reinforcement Learning for Target Tracking With Controlled Sensing	14
Association-Based Track-Before-Detect With Object Contribution Probabilities	14
MaRLI: Attack on the Discrete-Phase WISL Minimization Problem	14
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models	14
Revisiting Deep Generalized Canonical Correlation Analysis	14
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval	14
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent	14
Anomaly Detection in Networked Bandits	14
Direct Target Localization With Low-Bit Quantization in Wireless Sensor Networks	14
Unrolling SVT to Obtain Computationally Efficient SVT for N-Qubit Quantum State Tomography	14
Camouflage Adversarial Attacks on Multi-Agent Reinforcement Learning Systems	14
Weak Signal Detection With Low-Bit Quantization in Colocated MIMO Radar	14
A Coordinate Descent Approach to Atomic Norm Denoising	14
Optimal Power Allocation Under Different Power Availability Scenarios for Multitarget Tracking With C-MIMO Radar Systems	14
High-Accuracy Positioning Services for High-Speed Vehicles in Wideband mmWave Communications	13
ToF-Based NLoS Indoor Tracking With Adaptive Ranging Error Mitigation	13
Hybrid RIS-Assisted MIMO Dual-Function Radar-Communication System	13
On the Primal Feasibility in Dual Decomposition Methods Under Additive and Bounded Errors	13
Locally Differentially Private Online Federated Learning With Correlated Noise	13
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems — Part II: Convergence Properties	13
Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method	13
Learning High-Dimensional Differential Graphs From Multiattribute Data	13
Counter-Based Scatter Matrix Estimation for One-Bit Centered Bivariate Cauchy Signals	13
Practical and Powerful Kernel-Based Change-Point Detection	13
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising	13
Communication-Efficient Federated Learning: A Variance-Reduced Stochastic Approach With Adaptive Sparsification	13
Uplink to Downlink Channel Covariance Transformation in FDD Systems	13
Distributed Hybrid Sketching for $\ell_{2}$-Embeddings	13
Estimating Sequences With Memory for Minimizing Convex Nonsmooth Composite Functions	13
Bayesian Nonparametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis	13
Structured Directional Pruning via Perturbation Orthogonal Projection	13
Distributed Poisson Multi-Bernoulli Filtering via Generalized Covariance Intersection	13
Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization	13
Ziv-Zakai Bound for DOAs Estimation Under Arbitrary-Bit Quantization	13
Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison	13