IEEE Transactions on Signal Processing

Article	Citations
Robust Wideband Beampattern Synthesis With Precise Control of Worst-Case Beampattern	492
NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts	444
Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems	354
On Optimal Quantization in Sequential Detection	226
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks	184
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery	139
Parametric Joint Target Detection and Localization Using Message Passing for Distributed Passive MIMO Radar	118
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction	117
Rao, Wald, and Gradient Tests for Adaptive Detection of Swerling I Targets	116
Third-Order Nested Array: An Optimal Geometry for Third-Order Cumulants Based Array Processing	114
Joint Data Compression and Time-Delay Estimation for Distributed Systems via Extremum Encoding	110
6D Rigid Body Localization and Velocity Estimation via Gaussian Belief Propagation	102
Frequency Domain Joint-Normalized Stochastic Gradient Projection-Based Algorithm for Widely Linear Quaternion-Valued Adaptive Filtering	89
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection	85
Fast and Robust Sparsity-Aware Block Diagonal Representation	83
Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking	82
Decentralized Multitask Online Convex Optimization Under Random Link Failures	82
Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise	80
Multi-Scan Multi-Sensor Multi-Object State Estimation	79
Approaching Sub-Nyquist Boundary: Optimized Compressed Spectrum Sensing Based on Multicoset Sampler for Multiband Signal	73
Tensor Completion Network for Visual Data	72
Modeling and State Estimation of Linear Destination-Constrained Dynamic Systems	70
Phase Retrieval of Quaternion Signal via Wirtinger Flow	68
Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks	66
RTSNet: Learning to Smooth in Partially Known State-Space Models	61

Third-Order Sum-Difference Expansion: An Array Extension Strategy Based on Third-Order Cumulants	61
L${}_{\text{2}}$min${}^{\text{2/2s}}$: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs	59
Unsupervised Learning of Sampling Distributions for Particle Filters	58
Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching	58
Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design	58
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments	55
Theoretical Bounds in Decentralized Hypothesis Testing	54
Sampling and Uniqueness Sets in Graphon Signal Processing	53
Learning Graph ARMA Processes From Time-Vertex Spectra	52
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations	51
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals	51
Nonlinear Estimation Using Multiple Conversions With Optimized Extension for Target Tracking	50
Robust Resilient Diffusion Over Multi-Task Networks Against Byzantine Attacks: Design, Analysis and Applications	50
DDPG-Driven Deep-Unfolding With Adaptive Depth for Channel Estimation With Sparse Bayesian Learning	50
Propagation Map Reconstruction via Interpolation Assisted Matrix Completion	49
Multi-Spectrally Constrained Transceiver Design Against Signal-Dependent Interference	49
Two Strategies in Transient Change Detection	48
Three-Dimensional Localization of Mixed Near-Field and Far-Field Sources Based on a Unified Exact Propagation Model	48
Functional Bayesian Filter	46
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering	45
A General Compressive Sensing Construct Using Density Evolution	45
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning	44
Fast Iterative Soft-Output List Decoding of Polar Codes	44
Radar Space-Time Domino-Sparse-Pulse Feedback Beampattern Synthesis	43
A Sparse Fixed-Point Online KPCA Extraction Algorithm	43
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares	43
Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition	42
A $\mathcal{K}$-Divergence Based Approach for Robust Regression Analysis	41
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design	41
Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions	40
Active Sampling of Multiple Sources for Sequential Estimation	40
An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity	40
Guaranteed Private Communication With Secret Block Structure	39
A Cascaded Structure for Generalized Graph Filters	39
One-Bit Target Detection in Colocated MIMO Radar With Colored Background Noise	39
Optimal Transport Based Impulse Response Interpolation in the Presence of Calibration Errors	39
Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion	39
Optimal Accuracy-Privacy Trade-Off of Inference as Service	38
Learning State-Augmented Policies for Information Routing in Communication Networks	38
Graph Signal Processing Over a Probability Space of Shift Operators	37
Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification	37
High-Throughput Adaptive List Decoding Architecture for Polar Codes on GPU	37
TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method	36
Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications	36
Robust Low-Rank Matrix Recovery via Hybrid Ordinary-Welsch Function	36
An Outlier-Robust Kalman Filter With Adaptive Selection of Elliptically Contoured Distributions	36
One-Bit Channel Estimation for IRS-Aided Millimeter-Wave Massive MU-MISO System	36
The Adaptive $\tau$-Lasso: Robustness and Oracle Properties	36
On Properties and Structure of the Analytic Singular Value Decomposition	35
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares	35

A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems	35
Theory and Practice of Light-Weight Sequential SBL Algorithm: An Alternative to OMP	34
Efficient Transceiver Design for MIMO Dual-Function Radar-Communication Systems	33
Universal Hole-filling Strategies for Coprime Arrays	33
Graph Filters for Signal Processing and Machine Learning on Graphs	33
Convex Quaternion Optimization for Signal Processing: Theory and Applications	33
Probabilistically Robust Design of Radar Waveform-Filter for Extended Target Detection in the Presence of Clutter	32
Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment	32
Multi-Channel Factor Analysis: Identifiability and Asymptotics	32
Simplicial Convolutional Filters	32
Generalized Unitary Approximate Message Passing for Double Linear Transformation Model	32
Efficient Frequency Estimation Algorithm Based on Chirp-Z Transform	32
Non-Bayesian Parametric Missing-Mass Estimation	31
Enhancing Missing Data Imputation of Non-Stationary Oscillatory Signals With Harmonic Decomposition	31
Covariance-Free Sparse Bayesian Learning	31
Edgewise Outliers of Network Indexed Signals	31
Uplink Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems	30
Theoretical Insights and Practical Algorithms for Transceiver Design of PMCW Radar	30
Grid-Based Bayesian Filters With Functional Decomposition of Transient Density	30
A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models	30
A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms	30
Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors	30
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent	29
Learning Resilient Radio Resource Management Policies With Graph Neural Networks	29
Ziv-Zakai Bound for Compressive Time Delay Estimation	29
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation	28
Distributed Matrix Multiplication Based on Frame Quantization for Straggler Mitigation	28
Confined Orthogonal Matching Pursuit for Sparse Random Combinatorial Matrices	28
Coded Computation Across Shared Heterogeneous Workers With Communication Delay	28
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach	28
Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics	28
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach	28
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO	28
Graph Neural Networks Over the Air for Decentralized Tasks in Wireless Networks	28
Tracking Control for Stochastic Learning Systems Over Changing Durations	27
Generalized Channel Probing and Generalized Pre-Processing for Secret Key Generation	27
Distributed Policy Gradient for Linear Quadratic Networked Control With Limited Communication Range	27
Channel Estimation and Beamforming for Beyond Diagonal Reconfigurable Intelligent Surfaces	27
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers	27
Delayed Combination of Adaptive Filters in Colored Noise	27
Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach	27
Multilinear Karhunen-Loève Transforms	26
Toward Mixed Analog-Digital Quantum Signal Processing: Quantum AD/DA Conversion and the Fourier Transform	26
Two-Dimensional Multi-Target Detection: An Autocorrelation Analysis Approach	26
Simplicial Vector Autoregressive Models	26
On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation	26
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning	26
Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component From Nonstationary Mixtures—Algorithms	26
DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup	26
Spectral Mappings for Graph Wavelets	26
Localized Distributional Robustness in Submodular Multi-Task Subset Selection	25
Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors	25
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	25
MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition	25
Projection-Based Multiple Notch Filtering	25
Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario	24
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments	24
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression	24
Transdimensional Model Learning With Online Feature Selection Based on Predictive Least Squares	24
Fixed-Horizon Active Hypothesis Testing and Anomaly Detection	24
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration	24
An Optimal Pairwise Merge Algorithm Improves the Quality and Consistency of Nonnegative Matrix Factorization	24
A Generalized Approach for Recovering Time Encoded Signals With Finite Rate of Innovation	24
FadeLoc: Smart Device Localization for Generalized ${\kappa {-} \mu}$ Faded IoT Environment	24
Interval Design for Signal Parameter Estimation From Quantized Data	24
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs	24
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization	24
Simultaneous Topology and Loss Tomography via a Modified Theme Dictionary Model	24
Outlier Censoring via Block Sparse Learning	24
Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer Generalized Approximate Message Passing Method	23
QoS-Based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality	23
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding	23
A Unified Framework for STAR-RIS Coefficients Optimization	23
Infinite Factorial Linear Dynamical Systems for Transient Signal Detection	23
Regularized Linear Regression via Covariance Fitting	23
Channel Estimation for Massive MIMO: An Information Geometry Approach	23
D2CN: Distributed Deep Convolutional Network	23
DsMLP: A Learning-Based Multi-Layer Perception for MIMO Detection Implemented by Dynamic Stochastic Computing	23
External Division of Two Proximity Operators—Part II: Generalization and Properties	23
Direct Target Localization for Distributed Passive Radars With Direct-Path Interference Suppression	23

Efficient-Adam: Communication-Efficient Distributed Adam	23
Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions	23
On Local Distributions in Graph Signal Processing	23
Generalized Matched Filter for Radar Range Sidelobe Suppression: An Oblique Projection Approach	22
Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter	22
Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems	22
Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels	22
The Mirror Transform	22
DINE: Decentralized Inexact Newton With Exact Linear Convergence Rate	22
Trainable Subspaces for Low Rank Tensor Completion: Model and Analysis	22
Joint Compression and Multiuser Equalization for Multi-Carrier Massive MIMO Systems With Decentralized Baseband Processing	22
List of Reviewers	22
An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal	22
Joint Node Selection and Resource Allocation Optimization for Cooperative Sensing With a Shared Wireless Backhaul	22
DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition With Vandermonde Factor Matrix	22
One-Bit Phase Retrieval: More Samples Means Less Complexity?	22
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment	22
Online Bayesian Learning and Inference for OTHR Target Tracking and Registration	22
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee	22
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification	22
Angular Parameter Estimation for Incoherently Distributed Sources With Single RF Chain	21
Joint Design of Shuffling and Function Assignment in Heterogeneous Coded Distributed Computing	21
Learning Sinkhorn divergences for change point detection	21
Simultaneous Active and Passive Information Transfer for RIS-Aided MIMO Systems: Iterative Decoding and Evolution Analysis	21
Fast Algorithm for Joint Unicast and Multicast Beamforming for Large-Scale Massive MIMO	21
Nested Tensor-Based Integrated Sensing and Communication in RIS-Assisted THz MIMO Systems	21
A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization	21
New Restricted Isometry Property Analysis for $\ell_{1}$-$\alpha\ell_{2}$ Minimization	21
Parameterized Resampling Time-Frequency Transform	21
Learning by Transference: Training Graph Neural Networks on Growing Graphs	21
Large-Scale Independent Vector Analysis (IVA-G) via Coresets	21
Beamfocusing Capabilities of a Uniform Linear Antenna Array in the Holographic Regime	21
Adaptive Model Pruning and Personalization for Federated Learning Over Wireless Networks	21
Exact Short-Time Identification of Rational or Polynomial Exponent Signals	21
The Fixed Point Iteration of Positive Concave Mappings Converges Geometrically if a Fixed Point Exists: Implications to Wireless Systems	21
Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning	21
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models	21
Diffusion Bayesian Decorrelation Algorithms Over Networks	20
Exploration on 2D DOA Estimation of Linear Array Motion: Uniform and Sparse Circular Motion	20
Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization	20
Tensor Wiener Filter	20
Causal Link Discovery With Unequal Edge Error Tolerance	20
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations	20
Channel Estimation for RIS Assisted Wireless Communications: Stationary or Non-Stationary?	20
Time-Varying Graph Learning for Data With Heavy-Tailed Distribution	20
Distributionally Robust Adaptive Beamforming	20
The Diffusion Entropy Stochastic Gradient Descent Algorithm With Quasi-Optimal Combiners: Formulation and Analysis	19
A New Ridge Detector Localizing Strong Interference in Multicomponent Signals in the Time-Frequency Plane	19
Secure Degree of Freedom of Wireless Networks Using Collaborative Pilots	19
A Globally Convergent Algorithm for Linear Minimax Regret Estimation of Deterministic Parameters with Bounded Data Uncertainties	19
Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA	19
UNO: Unlimited Sampling Meets One-Bit Quantization	19
A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks	19
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions	19
Joint Transmit and Receive Wideband Beamforming for Spatial SIC in STAR Phased Array Systems	19
Robust Gaussian Mixture Modeling: A $\mathcal{K}$-Divergence Based Approach	19
Parameter Estimation on Homogeneous Spaces	19
Over-the-Air Multi-task Federated Learning via Cost-Effective Hybrid Beamforming	19
Multilinear Generalized Singular Value Decomposition (ML-GSVD) and Its Application to Multiuser MIMO Systems	19
STSyn: Speeding Up Local SGD With Straggler-Tolerant Synchronization	19
Extended Successive Convex Approximation for Phase Retrieval With Dictionary Learning	19
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation	19
A Frequency-Selective Digital Predistortion Method Based on a Generalized Indirect Learning Architecture	19
Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks	19
Globally Optimal Max-Min Rate Joint Channel and Power Allocation for Hybrid NOMA-OMA Downlink Systems	18
Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection	18
Active Sensing for Reciprocal MIMO Channels	18
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments	18
Sequential Estimation of Gaussian Process-Based Deep State-Space Models	18
Wide and Deep Graph Neural Network With Distributed Online Learning	18
Differential Error Feedback for Communication-Efficient Decentralized Learning	18
Near-Field Wideband Secure Communications: An Analog Beamfocusing Approach	18
Deep Unfolding With Normalizing Flow Priors for Inverse Problems	18
Bayesian Deep Learning via Expectation Maximization and Turbo Deep Approximate Message Passing	18
Robust Tensor Tracking With Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis	18
Deep Task-Based Analog-to-Digital Conversion	18
Vector-FRI Recovery of Multi-Sensor Measurements	18
Distributed Reptile Algorithm for Meta-Learning Over Multi-Agent Systems	18
Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio	18
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models	18
QCQP With Extra Constant Modulus Constraints: Theory and Application to SINR Constrained Mmwave Hybrid Beamforming	18
Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback	18
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization	18
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models	17
Robust Distributed Optimization With Randomly Corrupted Gradients	17
Online Federated Reproduced Gradient Descent With Time-Varying Global Optima	17
Direct Target Localization With Low-Bit Quantization in Wireless Sensor Networks	17
Parametric Minimum Error Entropy Criterion: A Case Study in Blind Sensor Fusion and Regression Problems	17
Revisiting Deep Generalized Canonical Correlation Analysis	17
Ordered Reliability Bits Guessing Random Additive Noise Decoding	17
A Coordinate Descent Approach to Atomic Norm Denoising	17
Learning High-Dimensional Differential Graphs From Multiattribute Data	17
Practical and Powerful Kernel-Based Change-Point Detection	17
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning	17
High-Accuracy Positioning Services for High-Speed Vehicles in Wideband mmWave Communications	17