IEEE Transactions on Signal Processing

Papers
(The median citation count of IEEE Transactions on Signal Processing is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Rao, Wald, and Gradient Tests for Adaptive Detection of Swerling I Targets167
Fast and Robust Sparsity-Aware Block Diagonal Representation153
Third-Order Sum-Difference Expansion: An Array Extension Strategy Based on Third-Order Cumulants137
Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise137
Phase Retrieval of Quaternion Signal via Wirtinger Flow123
Frequency Domain Joint-Normalized Stochastic Gradient Projection-Based Algorithm for Widely Linear Quaternion-Valued Adaptive Filtering107
Favor the Tortoise Over the Hare: An Efficient Detection Algorithm for Cooperative Networks106
Unsupervised Learning of Sampling Distributions for Particle Filters101
Decentralized Multitask Online Convex Optimization Under Random Link Failures70
Three-Dimensional Localization of Mixed Near-Field and Far-Field Sources Based on a Unified Exact Propagation Model69
Joint Data Compression and Time-Delay Estimation for Distributed Systems via Extremum Encoding67
Parametric Joint Target Detection and Localization Using Message Passing for Distributed Passive MIMO Radar65
RTSNet: Learning to Smooth in Partially Known State-Space Models65
Third-Order Nested Array: An Optimal Geometry for Third-Order Cumulants Based Array Processing62
Sampling and Uniqueness Sets in Graphon Signal Processing62
Einstein from Noise: Statistical Analysis62
Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking60
Variance Reduced Random Relaxed Projection Method for Constrained Finite-Sum Minimization Problems60
Theoretical Bounds in Decentralized Hypothesis Testing55
NeuralPUMA: Learning to Phase Unwrap Through Differentiable Graph Cuts55
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery55
Learning Graph ARMA Processes From Time-Vertex Spectra52
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals49
Sensor Network Localization via Riemannian Conjugate Gradient and Rank Reduction48
L${}_{\text{2}}$min${}^{\text{2/2s}}$: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs47
Modeling and Statistical Characterization of Large-Scale Automotive Radar Networks47
Zonotopic Distributed Fusion Filtering for 2-D Nonlinear Systems Over Sensor Networks: A Channel-Based Bit Rate Constraint47
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments46
Tensor Completion Network for Visual Data44
Over-the-Air Computation on Network Edge for Collaborative Estimation43
6D Rigid Body Localization and Velocity Estimation via Gaussian Belief Propagation42
Robust Wideband Beampattern Synthesis With Precise Control of Worst-Case Beampattern42
Nonlinear Estimation Using Multiple Conversions With Optimized Extension for Target Tracking42
Sub-Nyquist Tensor Beamformer: A Coprimality Constrained Design39
A General Compressive Sensing Construct Using Density Evolution37
Distributed Inference With Variational Message Passing in Gaussian Graphical Models: Tradeoffs in Message Schedules and Convergence Conditions37
A $\mathcal{K}$-Divergence Based Approach for Robust Regression Analysis37
Longtime Adaptive Coherent Detection in Heterogeneous Compound-Gaussian Sea Clutter37
Theory and Practice of Light-Weight Sequential SBL Algorithm: An Alternative to OMP36
Guaranteed Private Communication With Secret Block Structure36
Boosting Restoration of Turbulence-Degraded Images With State Space Conditional Diffusion36
The Adaptive $\tau$-Lasso: Robustness and Oracle Properties36
Learning State-Augmented Policies for Information Routing in Communication Networks36
A Log-Linear Nonparametric Online Changepoint Detection Algorithm Based on Functional Pruning36
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems35
Treating the Filter Weights as Learnable Functions: An Efficient Nonlinear Filtering Framework and Its Adaptive Algorithms35
Energy-Efficient Optimal Denial-of-Service Attack Schedule Against Transmission Over Interactive Networks35
Optimal Transport Based Impulse Response Interpolation in the Presence of Calibration Errors35
One-Bit Channel Estimation for IRS-Aided Millimeter-Wave Massive MU-MISO System35
Leveraging Low-Rank Factorizations of Conditional Correlation Matrices in Graph Learning34
Rank-Revealing Bayesian Block-Term Tensor Completion With Graph Information33
Radar Space-Time Domino-Sparse-Pulse Feedback Beampattern Synthesis32
Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering32
Graph Signal Processing Over a Probability Space of Shift Operators31
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design31
A Generalized Multidimensional Chinese Remainder Theorem (MD-CRT) for Multiple Integer Vectors31
Robust Low-Rank Matrix Recovery via Hybrid Ordinary-Welsch Function31
Efficient Transceiver Design for MIMO Dual-Function Radar-Communication Systems30
One-Bit Target Detection in Colocated MIMO Radar With Colored Background Noise30
Learning graphons from data: Random walks, transfer operators, and spectral clustering30
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares29
On Properties and Structure of the Analytic Singular Value Decomposition29
Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications29
A Sparse Fixed-Point Online KPCA Extraction Algorithm29
TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method29
Universal Hole-Filling Strategies for Coprime Arrays29
Convex Quaternion Optimization for Signal Processing: Theory and Applications29
Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition28
Procrustes Analysis on the Manifold of SPSD Matrices for Data Sets Alignment28
Temperature Control for Cyber-Physical Thermal Systems over Wireless Networks: A Model-Assisted Deep Reinforcement Learning Approach28
Edgewise Outliers of Network Indexed Signals28
Integrated Localization and Communication With Sparse MIMO: Will Virtual Array Technology Also Benefit Wireless Communication?28
Graph Filters for Signal Processing and Machine Learning on Graphs28
Multi-Channel Factor Analysis: Identifiability and Asymptotics28
Enhancing Missing Data Imputation of Non-Stationary Oscillatory Signals With Harmonic Decomposition27
On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation27
Theoretical Insights and Practical Algorithms for Transceiver Design of PMCW Radar27
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO27
Generalized Unitary Approximate Message Passing for Double Linear Transformation Model27
Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics27
Generalized Channel Probing and Generalized Pre-Processing for Secret Key Generation27
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation26
Distributed Policy Gradient for Linear Quadratic Networked Control With Limited Communication Range26
Multi-Resolution Model Compression for Deep Neural Networks: A Variational Bayesian Approach26
Confined Orthogonal Matching Pursuit for Sparse Random Combinatorial Matrices25
Toward Mixed Analog-Digital Quantum Signal Processing: Quantum AD/DA Conversion and the Fourier Transform25
A Unified Framework for Solving a General Class of Nonconvexly Regularized Convex Models25
Graph Neural Networks Over the Air for Decentralized Tasks in Wireless Networks25
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent25
Learning Resilient Radio Resource Management Policies With Graph Neural Networks25
Design and Analysis of Hardware-Limited Non-Uniform Task-Based Quantizers25
Grid-Based Bayesian Filters With Functional Decomposition of Transient Density25
MIML-GAN: A GAN-Based Algorithm for Multi-Instance Multi-Label Learning on Overlapping Signal Waveform Recognition24
Doubly Adaptive Social Learning24
On the Characteristics of the Conjugate Function Enabling Effective Dual Decomposition Methods24
Probabilistically Robust Design of Radar Waveform-Filter for Extended Target Detection in the Presence of Clutter24
Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning24
Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach24
Tracking Control for Stochastic Learning Systems Over Changing Durations24
Channel Estimation and Beamforming for Beyond Diagonal Reconfigurable Intelligent Surfaces23
Simplicial Vector Autoregressive Models23
A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms23
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach23
Efficient Distributed Randomized Iterative Detection for Decentralized XL-MIMO Systems23
Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors22
Projection-Based Multiple Notch Filtering22
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration22
A Fast Robust Adaptive Filter using Improved Data-Reuse Method22
Localized Distributional Robustness in Submodular Multi-Task Subset Selection22
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs22
DANSE: Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup22
Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario22
Outlier Censoring via Block Sparse Learning22
A Unified Framework for STAR-RIS Coefficients Optimization21
On Stochastic Beamforming for Ergodic Sum-Rate Maximization in Cooperative Transmission Systems21
External Division of Two Proximity Operators—Part II: Generalization and Properties21
QoS-Based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality21
Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments21
Infinite Factorial Linear Dynamical Systems for Transient Signal Detection21
An Optimal Pairwise Merge Algorithm Improves the Quality and Consistency of Nonnegative Matrix Factorization21
Transdimensional Model Learning With Online Feature Selection Based on Predictive Least Squares21
Poisson Multi-Bernoulli Mixture Filter With General Target-Generated Measurements and Arbitrary Clutter21
Regularized Linear Regression via Covariance Fitting21
Towards Communication-Efficient Federated Learning via Sparse and Aligned Adaptive Optimization21
D2CN: Distributed Deep Convolutional Network20
List of Reviewers20
A Generalized Approach for Recovering Time Encoded Signals With Finite Rate of Innovation20
Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions20
Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems20
Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression20
Direct Target Localization for Distributed Passive Radars With Direct-Path Interference Suppression20
DINE: Decentralized Inexact Newton With Exact Linear Convergence Rate20
Generalized Matched Filter for Radar Range Sidelobe Suppression: An Oblique Projection Approach20
Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer Generalized Approximate Message Passing Method20
Joint Compression and Multiuser Equalization for Multi-Carrier Massive MIMO Systems With Decentralized Baseband Processing20
Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment20
Analog Product Coding for Over-the-Air Aggregation Over Burst-Sparse Interference Multiple-Access Channels20
Upper Bound of Null Space Constant $\rho(p,t,A,k)$ and High-Order Restricted Isometry Constant $\delta_{tk}$ for Sparse Recovery via $\ell_{p}$ Minimization20
Efficient-Adam: Communication-Efficient Distributed Adam20
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding20
Least-Squares Methods for Nonnegative Matrix Factorization Over Rational Functions19
STSyn: Speeding Up Local SGD With Straggler-Tolerant Synchronization19
Joint Node Selection and Resource Allocation Optimization for Cooperative Sensing With a Shared Wireless Backhaul19
Large Covariance Matrix Estimation With Oracle Statistical Rate via Majorization-Minimization19
FedCanon: Non-Convex Composite Federated Learning With Efficient Proximal Operation on Heterogeneous Data19
A Fast Successive QP Algorithm for General Mean-Variance Portfolio Optimization19
Angular Parameter Estimation for Incoherently Distributed Sources With Single RF Chain19
Diffusion Bayesian Decorrelation Algorithms Over Networks19
Learning Sinkhorn Divergences for Change Point Detection19
Online Bayesian Learning and Inference for OTHR Target Tracking and Registration19
Multi-Resolution Autonomous Linear State Space Filters for N-Dimensional Signals19
Time-Varying Graph Learning for Data With Heavy-Tailed Distribution19
Causal Link Discovery With Unequal Edge Error Tolerance19
Large-Scale Independent Vector Analysis (IVA-G) via Coresets18
Simultaneous Active and Passive Information Transfer for RIS-Aided MIMO Systems: Iterative Decoding and Evolution Analysis18
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning With Data Heterogeneity18
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification18
An Iterative Warping and Clustering Algorithm to Estimate Multiple Wave-Shape Functions From a Nonstationary Oscillatory Signal18
Adaptive Model Pruning and Personalization for Federated Learning Over Wireless Networks18
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models18
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems18
Neuromorphic Split Computing With Wake-Up Radios: Architecture and Design via Digital Twinning18
Beamforming Design for Minimizing the Signal Power Estimation Error18
Beamfocusing Capabilities of a Uniform Linear Antenna Array in the Holographic Regime18
Distributionally Robust Adaptive Beamforming18
Nested Tensor-Based Integrated Sensing and Communication in RIS-Assisted THz MIMO Systems18
A New Ridge Detector Localizing Strong Interference in Multicomponent Signals in the Time-Frequency Plane18
Active Sensing for Reciprocal MIMO Channels17
Fractional Programming for Stochastic Precoding Over Generalized Fading Channels17
New Restricted Isometry Property Analysis for $\ell_{1}$-$\alpha\ell_{2}$ Minimization17
Robust Gaussian Mixture Modeling: A $\mathcal{K}$-Divergence Based Approach17
A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks17
Exploration on 2D DOA Estimation of Linear Array Motion: Uniform and Sparse Circular Motion17
A Globally Convergent Algorithm for Linear Minimax Regret Estimation of Deterministic Parameters with Bounded Data Uncertainties17
Channel Estimation for RIS Assisted Wireless Communications: Stationary or Non-Stationary?17
Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA17
Parameter Estimation on Homogeneous Spaces17
Secure Degree of Freedom of Wireless Networks Using Collaborative Pilots17
Bayesian Deep Learning via Expectation Maximization and Turbo Deep Approximate Message Passing17
Learning by Transference: Training Graph Neural Networks on Growing Graphs17
Joint Design of FDA Waveform and Receive Filter for Integrated Detection and Countermeasure17
Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Bound Optimization16
Over-the-Air Multitask Federated Learning via Cost-Effective Hybrid Beamforming16
UNO: Unlimited Sampling Meets One-Bit Quantization16
Randomized Iterative Sampling Decoding Algorithm For Large-Scale MIMO Detection16
Directed Acyclic Graph Convolutional Networks16
Dynamic Shrinkage Estimation of the High-Dimensional Minimum-Variance Portfolio16
Joint Transmit and Receive Wideband Beamforming for Spatial SIC in STAR Phased Array Systems16
Asymmetric Beampattern Synthesis for Rectangular Planar Array via Window Function Design16
Sequential Estimation of Gaussian Process-Based Deep State-Space Models16
Differential Error Feedback for Communication-Efficient Decentralized Learning15
Bayesian Hierarchical Sparse Autoencoder for Massive MIMO CSI Feedback15
Byzantine Attacks in Over-the-Air Cooperative Sensing Networks: Analysis and Defense15
Compute-Update Federated Learning: A Lattice Coding Approach15
Adaptive DOA Estimation Method Based on Frequency Agile Radar With Joint Transmit-Receive Processing15
Near-Field Wideband Secure Communications: An Analog Beamfocusing Approach15
Parametric Minimum Error Entropy Criterion: A Case Study in Blind Sensor Fusion and Regression Problems15
Structured Nyquist Correlation Reconstruction for DOA Estimation With Sparse Arrays15
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models15
Riemannian Low-Rank Model Compression for Federated Learning With Over-the-Air Aggregation15
Globally Optimal Max-Min Rate Joint Channel and Power Allocation for Hybrid NOMA-OMA Downlink Systems15
Lie Group Algebra Convolutional Filters15
MaRLI: Attack on the Discrete-Phase WISL Minimization Problem14
Direct Target Localization With Low-Bit Quantization in Wireless Sensor Networks14
Track-MDP: Reinforcement Learning for Target Tracking With Controlled Sensing14
Optimal Power Allocation Under Different Power Availability Scenarios for Multitarget Tracking With C-MIMO Radar Systems14
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models14
Online Federated Reproduced Gradient Descent With Time-Varying Global Optima14
Anomaly Detection in Networked Bandits14
Association-Based Track-Before-Detect With Object Contribution Probabilities14
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters14
Unrolling SVT to Obtain Computationally Efficient SVT for N-Qubit Quantum State Tomography14
Camouflage Adversarial Attacks on Multi-Agent Reinforcement Learning Systems14
Robust Two-Tier Beamforming for Distributed Signal Sensing14
ToF-Based NLoS Indoor Tracking With Adaptive Ranging Error Mitigation14
Graph Chirp Signal and Graph Fractional Vertex–Frequency Energy Distribution14
Bayesian Nonparametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis14
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent14
The Mean of Multi-Object Trajectories14
Weak Signal Detection With Low-Bit Quantization in Colocated MIMO Radar14
Practical and Powerful Kernel-Based Change-Point Detection13
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems — Part II: Convergence Properties13
Sparse Enhancement of MIMO Radar Exploiting Moving Transmit and Receive Arrays for DOA Estimation: From the Perspective of Synthetic Coarray13
Minimizing Low-Rank Models of High-Order Tensors: Hardness, Span, Tight Relaxation, and Applications13
Channel Estimation and Data Detection in DS-Spread Channels: A Unified Framework, Novel Algorithms, and Waveform Comparison13
A New Inexact Proximal Linear Algorithm With Adaptive Stopping Criteria for Robust Phase Retrieval13
Linear Convergence of Plug-and-Play Algorithms With Kernel Denoisers13
High-Accuracy Positioning Services for High-Speed Vehicles in Wideband mmWave Communications13
Sensing-Aided Precoding With High-Dynamic Moving Scatterers13
Bandlimited Signal Reconstruction From Leaky Integrate-and-Fire Encoding Using POCS13
An Effective Iterative Solution for Independent Vector Analysis With Convergence Guarantees13
Structured Directional Pruning via Perturbation Orthogonal Projection13
Learning High-Dimensional Differential Graphs From Multiattribute Data13
Revisiting Deep Generalized Canonical Correlation Analysis13
Robust Multidimensional Graph Neural Networks for Signal Processing in Wireless Communications With Edge-Graph Information Bottleneck13
Autoregressive Stochastic Clock Jitter Compensation in Analog-to-Digital Converters13
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-Offs13
A Coordinate Descent Approach to Atomic Norm Denoising13
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising12
Robust Cubature Kalman Filter With Gaussian-Multivariate Laplacian Mixture Distribution and Partial Variational Bayesian Method12
3-D Rigid Body Localization Using 1-D AOA: Boundary Condition Analysis and Generic Majorization-Minimization Framework12
Arithmetic Average Density Fusion—Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation12
Sequential Gaussian Processes for Online Learning of Nonstationary Functions12
Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization12
An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process12
Estimating Sequences With Memory for Minimizing Convex Nonsmooth Composite Functions12
Identifying a Piecewise Affine Signal From Its Nonlinear Observation—Application to DNA Replication Analysis12
Locally Differentially Private Online Federated Learning With Correlated Noise12
Communication-Efficient Federated Learning: A Variance-Reduced Stochastic Approach With Adaptive Sparsification12
Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test12
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