IEEE Signal Processing Society
Target Detection Using Quantized Cloud MIMO Radar Measurements
Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability
The Impact of Multipath Information on Time-of-Arrival Estimation
Innovative and Additive Outlier Robust Kalman Filtering With a Robust Particle Filter
Functional Bayesian Filter
Direction-of-Arrival Estimation for Large Antenna Arrays With Hybrid Analog and Digital Architectures
Identifying Latent Stochastic Differential Equations
Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals
Complex Parameter Rao, Wald, Gradient, and Durbin Tests for Multichannel Signal Detection
On the Correlation Concentration of Discrete Prolate Spheroidal Sequences
Quantization for Communication-Efficient Change-Point Detection Over Networks
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection With Mutual Information Estimation
Anomaly Search With Multiple Plays Under Delay and Switching Costs
Local Strong Convexity of Source Localization and Error Bound for Target Tracking under Time-of-Arrival Measurements
Improving Sum-Rate of Cell-Free Massive MIMO With Expanded Compute-and-Forward
Analysis of Reassignment Operators Used in Synchrosqueezing Transforms: With an Application to Instantaneous Frequency Estimation
Extended Target Tracking With a Lidar Sensor Using Random Matrices and a Virtual Measurement Model
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming
A General Framework for Constrained Convex Quaternion Optimization
Analysis of Adaptive Detectors Robustness to Mismatches on Noise Mean Value
Structural Sparsity in Multiple Measurements
Filter Distortions in Ultra High-Throughput Satellites: Models, Parameters and Multicarrier Optimization
Escaping Saddle Points for Successive Convex Approximation
Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking
Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks
FadeLoc: Smart Device Localization for Generalized ${\kappa {-} \mu}$ Faded IoT Environment
Memory-Efficient Convex Optimization for Self-Dictionary Separable Nonnegative Matrix Factorization: A Frank–Wolfe Approach
An Accelerated Expectation-Maximization Algorithm for Multi-Reference Alignment
Multiple Object Trajectory Estimation Using Backward Simulation
A Unified and Refined Convergence Analysis for Non-Convex Decentralized Learning
Cramér-Rao Bound Analysis of Radars for Extended Vehicular Targets With Known and Unknown Shape
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem
Analog MIMO Communication for One-Shot Distributed Principal Component Analysis
Recursive Quadratic Filtering for Linear Discrete Non-Gaussian Systems Over Time-Correlated Fading Channels
Data Transmission Over Linear Time-Varying Channels
Coded Computation Across Shared Heterogeneous Workers With Communication Delay
Covariance Matrix Estimation for FDA-MIMO Adaptive Transmit Power Allocation
On Properties of Periodic Binary Sequences in the Presence of System Non-Linearities
Wide-Sense Stationarity in Generalized Graph Signal Processing
On Local Chirp Rate Estimation in Noisy Multicomponent Signals: With an Application to Mode Reconstruction
Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals
Over-the-Air Calibration of Phase Shifter Network for Hybrid MIMO Systems
Distributed Constrained Online Convex Optimization Over Multiple Access Fading Channels
Robust Distributed Optimization With Randomly Corrupted Gradients
A Cascaded Structure for Generalized Graph Filters
Reweighted Low-Rank Factorization With Deep Prior for Image Restoration
Stratified Sampling Based Compressed Sensing for Structured Signals
Widely Linear Maximum Complex Correntropy Criterion Affine Projection Algorithm and Its Performance Analysis
Updating the Multilinear UTV Decomposition
Probability of Resolution of MUSIC and g-MUSIC: An Asymptotic Approach
Streaming Solutions for Time-Varying Optimization Problems
Environment Sensing Considering the Occlusion Effect: A Multi-View Approach
User Activity Detection for Irregular Repetition Slotted Aloha Based MMTC
Spectrum Analysis for Multiband Signals With Nonuniform Sub-Nyquist Sampling in the Fractional Fourier Domain
Performance Analysis of Joint Active User Detection and Channel Estimation for Massive Connectivity
A Bayesian Framework for Multivariate Multifractal Analysis
Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems
Non-Bayesian Parametric Missing-Mass Estimation
Novel Recovery Algorithms for Block Sparse Signals With Known and Unknown Borders
Robust Localization With Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations
Adaptive Matrix Information Geometry Detector With Local Metric Tensor
Folded Clutter Suppression for Pulse-Doppler Radar Based on Pulse-Agile Waveforms
MsmcNet: A Modular Few-Shot Learning Framework for Signal Modulation Classification
Leveraging Joint-Diagonalization in Transform-Learning NMF
Covariance-Free Sparse Bayesian Learning
Sample-Based and Feature-Based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA
Binary Signal Perfect Recovery From Partial DFT Coefficients
Wide and Deep Graph Neural Network With Distributed Online Learning
Resource Scheduling for Multi-Target Tracking in Multi-Radar Systems With Imperfect Detection
Lippmann Photography: A Signal Processing Perspective
Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data
Multi-Ellipsoidal Extended Target Tracking With Variational Bayes Inference
Nyquist Sampling and Degrees of Freedom of Electromagnetic Fields
The Diffusion Entropy Stochastic Gradient Descent Algorithm With Quasi-Optimal Combiners: Formulation and Analysis
Uplink Cascaded Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser MISO Systems
On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization
Transmit Antenna Placement Based on Graph Theory for MIMO Radar Detection
Ziv-Zakai Bound for Compressive Time Delay Estimation
Covariance Matrix Estimation Under Low-Rank Factor Model With Nonnegative Correlations
Optimal Accuracy-Privacy Trade-Off of Inference as Service
Distributed Online Optimization in Time-Varying Unbalanced Networks Without Explicit Subgradients
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares
Short Analog Fountain Code With Quasi-Gray Constellation Mapping Modulation Towards uRLLC
Optimal Power Allocation and Optimal Linear Encoding for Parameter Estimation in the Presence of a Smart Eavesdropper
An Asymptotically MSE-Optimal Estimator Based on Gaussian Mixture Models
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing
A Background M-Channel Time-Interleaved ADC Calibration for Multilevel Modulations Based on the Probability Density Function Difference and a Greedy Algorithm
Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach
Fixed-Horizon Active Hypothesis Testing and Anomaly Detection
On the Impact of Channel Estimation on the Design and Analysis of IRSA Based Systems
Polarimetric GLRT for Adaptive Detection in General Array Configuration
Probabilistically Robust Radar Waveform Design for Extended Target Detection
Approaching Sub-Nyquist Boundary: Optimized Compressed Spectrum Sensing Based on Multicoset Sampler for Multiband Signal
Simultaneous Topology and Loss Tomography via a Modified Theme Dictionary Model
Joint Localization and Orientation Estimation in Millimeter-Wave MIMO OFDM Systems via Atomic Norm Minimization
A Reconfigurable MIMO-SAR Transmission Scheme Based on Inter-Pulse and Intra-Pulse Joint Phase Modulation
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach
Robust Tensor Tracking With Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis
Overlapping Community Detection via Semi-Binary Matrix Factorization: Identifiability and Algorithms
On the Minimum $\mathcal {K}$-Divergence Estimator
Recovery Algorithms for Pooled RT-qPCR Based Covid-19 Screening
Vector-FRI Recovery of Multi-Sensor Measurements
MIMO Multifunction RF Systems: Detection Performance and Waveform Design
Ambiguities in DoA Estimation With Linear Arrays
Distributionally Robust State Estimation for Nonlinear Systems
On the Convergence of Non-Convex Phase Retrieval With Denoising Priors
On Optimal Quantization in Sequential Detection
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network
Non-Uniform Sparse Fourier Transform and Its Applications
Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection
Sequential Change-Point Detection for High-Dimensional and Non-Euclidean Data
Graph Signal Compression by Joint Quantization and Sampling
Ordered Reliability Bits Guessing Random Additive Noise Decoding
A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising
Stability and Super-Resolution of MUSIC and ESPRIT for Multi-Snapshot Spectral Estimation
Active Sampling of Multiple Sources for Sequential Estimation
Blind Modulo Analog-to-Digital Conversion
Localization by Signals of Opportunity in the Absence of Transmitter Position
One-Bit Phase Retrieval: More Samples Means Less Complexity?
Simplicial Convolutional Filters
Blind Super-Resolution of Point Sources via Projected Gradient Descent
DDPG-Driven Deep-Unfolding With Adaptive Depth for Channel Estimation With Sparse Bayesian Learning
Channel Estimation in MIMO Systems With One-Bit Spatial Sigma-Delta ADCs
The Fixed Point Iteration of Positive Concave Mappings Converges Geometrically if a Fixed Point Exists: Implications to Wireless Systems
Byzantine-Resilient Resource Allocation Over Decentralized Networks
Recovery Conditions of Sparse Signals Using Orthogonal Least Squares-Type Algorithms
Adaptive Measurement Matrix Design in Direction of Arrival Estimation
Graphical Inference in Linear-Gaussian State-Space Models
Polarization Anti-Jamming Interference Analysis With Pulse Accumulation
Cooperative Multiple Rigid Body Localization via Semidefinite Relaxation Using Range Measurements
Direct Complex Envelope Sampling of Bandpass Signals With M-Channel Time-Interleaved ADCs
Channel Estimation for Massive MIMO: An Information Geometry Approach
Massive MIMO-OFDM Systems with Low Resolution ADCs: Cramér-Rao Bound, Sparse Channel Estimation, and Soft Symbol Decoding
Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise
Statistical-Mechanical Analysis of Adaptive Filter With Clipping Saturation-Type Nonlinearity
Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification
Soft Channel Estimation and Localization for Millimeter Wave Systems With Multiple Receivers
Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation
A Unified Theory of Adaptive Subspace Detection Part I: Detector Designs
A Unified Theory of Adaptive Subspace Detection Part II: Numerical Examples
Sample-Efficient Sparse Phase Retrieval via Stochastic Alternating Minimization
Maximum Total Quaternion Correntropy for Adaptive Filtering
Radar Imaging Based on IEEE 802.11ad Waveform in V2I Communications
Mixed-Timescale Request-Driven User Association, Trajectory and Radio Resource Control for Cache-Enabled Multi-UAV Networks
Regret-Optimal Filtering for Prediction and Estimation
Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access
Global and Asymptotically Efficient Localization From Range Measurements
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Compressive Subspace Detectors Based on Sparse Representation in Multistatic Passive Radar Systems
Fast and Efficient 2-D and $K$-D DFT-Based Sinusoidal Frequency Estimation
Double Nonstationarity: Blind Extraction of Independent Nonstationary Vector/Component From Nonstationary Mixtures—Algorithms
Robust Tensor-Based Algorithm for UAV-Assisted IoT Communication Systems via Nested PARAFAC Analysis
Design of Customized Adaptive Radar Detectors in the CFAR Feature Plane
Multilinear Karhunen-Loève Transforms
Performance Analysis of Fractional Learning Algorithms
Location Sensing and Beamforming Design for IRS-Enabled Multi-User ISAC Systems
Asymptotic Performance Prediction for ADMM-Based Compressed Sensing
Matcha: A Matching-Based Link Scheduling Strategy to Speed up Distributed Optimization
Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds
QCQP With Extra Constant Modulus Constraints: Theory and Application to SINR Constrained Mmwave Hybrid Beamforming
Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise
Location Estimates From Channel State Information via Binary Programming
Motion Modeling and State Estimation in Range-Squared Coordinate
Variational-Based Nonlinear Bayesian Filtering With Biased Observations
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces
Scale-Wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes
Nonlinear Filtering Based on Third-Degree Approximation Via Sequential Homotopy
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation
Federated Learning Under Importance Sampling
Spectral Efficiency Maximization for Double-Faced Active Reconfigurable Intelligent Surface
Fast Algorithm for Joint Unicast and Multicast Beamforming for Large-Scale Massive MIMO
Multi-Scan Multi-Sensor Multi-Object State Estimation
Distributed Reptile Algorithm for Meta-Learning Over Multi-Agent Systems
Non-Integer Arrays for Array Signal Processing
Design of Real-Valued Wideband Beamformers Using an Adaptive-Array-Theory-Inspired WLS: Theory and Algorithm
Asymptotic Analysis of RLS-Based Digital Precoder With Limited PAPR in Massive MIMO
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations
Cramér-Rao Bounds for Holographic Positioning
MAXVAR-Based Distributed Correlation Estimation in a Wireless Sensor Network
Joint Network Topology Inference Via a Shared Graphon Model
On Local Distributions in Graph Signal Processing
Efficient Sampling of Bernoulli-Gaussian-Mixtures for Sparse Signal Restoration
A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation
An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity
Learning Unbalanced and Sparse Low-Order Tensors
Revisiting Skipped Filter and Development of Robust Localization Method Based on Variational Bayesian Gaussian Mixture Algorithm
Compressive Sensing With Wigner $D$-Functions on Subsets of the Sphere
Exact Short-Time Identification of Rational or Polynomial Exponent Signals
Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments
Untrained Graph Neural Networks for Denoising
Efficient Frequency Estimation Algorithm Based on Chirp-Z Transform
Deep Contrastive Principal Component Analysis Adaptive to Nonlinear Data
Robust Multi-Dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE)
Joint ML/MAP Estimation of the Frequency and Phase of a Single Sinusoid With Wiener Carrier Phase Noise
Composite Hypothesis Tests for Detection of Modeling Misspecification
Learned Factor Graphs for Inference From Stationary Time Sequences
Adaptive Graph-Constrained Group Testing
On Non-Linear Trajectory Tracking via Variety-Based Background Subtraction Models
Tensor Wiener Filter
A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon’s Theorem Meets Compressive Sensing
Distributionally Robust State Estimation for Linear Systems Subject to Uncertainty and Outlier
“Self-Wiener” Filtering: Data-Driven Deconvolution of Deterministic Signals
Over-Parametrized Matrix Factorization in the Presence of Spurious Stationary Points
Online Particle Smoothing With Application to Map-Matching
Joint Parameter Estimation From Binary Observations Over Decentralized Channels
Distributed Primal-Dual Method for Convex Optimization With Coupled Constraints
Total Least Squares Phase Retrieval
A Novel Wireless Communication Paradigm for Intelligent Reflecting Surface Based Symbiotic Radio Systems
Asymptotic Spectral Representation of Linear Convolutional Layers
Probabilistic Simplex Component Analysis
Quantized Corrupted Sensing With Random Dithering
The Surprising Benefits of Hysteresis in Unlimited Sampling: Theory, Algorithms and Experiments
The Level Set Kalman Filter for State Estimation of Continuous-Discrete Systems
Quantization Analysis and Robust Design for Distributed Graph Filters
Linear Pooling of Sample Covariance Matrices
Parameter Training Methods for Convolutional Neural Networks With Adaptive Adjustment Method Based on Borges Difference
Projection Filtering With Observed State Increments With Applications in Continuous-Time Circular Filtering
Hyperspectral Image Classification Using Adaptive Weighted Quaternion Zernike Moments
Outlier-Resistant Filtering With Dead-Zone-Like Censoring Under Try-Once-Discard Protocol
Joint Radar and Communications for Frequency-Hopped MIMO Systems
Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm
Efficient Algorithms for Constant-Modulus Analog Beamforming
JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations
Fast and Robust Sparsity Learning Over Networks: A Decentralized Surrogate Median Regression Approach
Parameter Estimation in PMCW MIMO Radar Systems With Few-Bit Quantized Observations
Interference Mitigation for FMCW Radar With Sparse and Low-Rank Hankel Matrix Decomposition
Two-Dimensional Multi-Target Detection: An Autocorrelation Analysis Approach
Reinforcement Learning for Motion Policies in Mobile Relaying Networks
Exponential Mixture Density Based Approximation to Posterior Cramér-Rao Lower Bound for Distributed Target Tracking
High-Throughput Adaptive List Decoding Architecture for Polar Codes on GPU
An Enhanced Lattice Algorithm for Range Estimation Using Noisy Measurement With Phase Ambiguity
Adaptive Fourier Decomposition for Multi-Channel Signal Analysis
Robust Spectral Analysis of Multi-Channel Sinusoidal Signals in Impulsive Noise Environments
Kernel Regression Over Graphs Using Random Fourier Features
Finite-Time Error Bounds of Biased Stochastic Approximation With Application to TD-Learning
Dual Optimization for Kolmogorov Model Learning Using Enhanced Gradient Descent
Adaptive Radar Detection in Gaussian Interference Using Clutter-Free Training Data
An Outlier-Robust Kalman Filter With Adaptive Selection of Elliptically Contoured Distributions
Multi-Sensor Joint Adaptive Birth Sampler for Labeled Random Finite Set Tracking
Phase Calibration for Intelligent Reflecting Surfaces Assisted Millimeter Wave Communications
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks
Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning
Tight Regret Bounds for Noisy Optimization of a Brownian Motion
Total Secrecy From Anti-Eavesdropping Channel Estimation
Signal Analysis via the Stochastic Geometry of Spectrogram Level Sets
Deep Learning-Aided Coherent Direction-of-Arrival Estimation With the FTMR Algorithm
Unlimited Sampling From Theory to Practice: Fourier-Prony Recovery and Prototype ADC
Robust Aggregation for Federated Learning
Efficient Caching by Linear Compression for Parameter Estimation in Wireless Sensor Networks
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
Consensus-Based Labeled Multi-Bernoulli Filter With Event-Triggered Communication
A Hybrid Approach to Optimal TOA-Sensor Placement With Fixed Shared Sensors for Simultaneous Multi-Target Localization
Non-Smooth Regularization: Improvement to Learning Framework Through Extrapolation
Efficient Super-Resolution Two-Dimensional Harmonic Retrieval With Multiple Measurement Vectors
PDMM: A Novel Primal-Dual Majorization-Minimization Algorithm for Poisson Phase-Retrieval Problem
Bayesian Sparse Blind Deconvolution Using MCMC Methods Based on Normal-Inverse-Gamma Prior
Detection of the Number of Signals in Uniform Arrays by Invariant-Signal-Subspace Matching
Enhanced Target Localization With Deployable Multiplatform Radar Nodes Based on Non-Convex Constrained Least Squares Optimization
General Parameterized Fourier Transform: A Unified Framework for the Fourier, Laplace, Mellin and $Z$ Transforms
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks
Multi-Spectrally Constrained Transceiver Design Against Signal-Dependent Interference
Linear Canonical Stockwell Transform: Theory and Applications
Asymmetric Compressive Learning Guarantees With Applications to Quantized Sketches
Fast Iterative Soft-Output List Decoding of Polar Codes
The Generalized Method of Moments for Multi-Reference Alignment
Signaling Design for MIMO-NOMA With Different Security Requirements
Fairness-Oriented Multiple RIS-Aided mmWave Transmission: Stochastic Optimization Methods
Two Strategies in Transient Change Detection
Joint Power Allocation for Remote State Estimation With SWIPT
High Resolution MIMO Radar Sensing With Compressive Illuminations
Radix-Partition-Based Over-the-Air Aggregation and Low-Complexity State Estimation for IoT Systems Over Wireless Fading Channels
Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
Nonlinear Dimension Reduction by PDF Estimation
Block-Sparse Recovery With Optimal Block Partition
Multivariate Fast Iterative Filtering for the Decomposition of Nonstationary Signals
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics
Distributed Estimation for Multi-Subsystem With Coupled Constraints
Multi-Agent Fusion With Different Limited Fields-of-View
Pairwise Node Localization From Differences in Their UWB Channels to Observer Nodes
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering
DCT and DST Filtering With Sparse Graph Operators
DOA Estimation for Heterogeneous Wideband Sources Based on Adaptive Space-Frequency Joint Processing
Hardware-Aware Design of Multiplierless Second-Order IIR Filters With Minimum Adders
Symbol-Level Precoding Through the Lens of Zero Forcing and Vector Perturbation
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
Region-Restricted Sensor Placement Based on Gaussian Process for Sound Field Estimation
A Riemannian Geometric Approach to Blind Signal Recovery for Grant-Free Radio Network Access
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces
Adaptive Classification Using Incremental Linearized Kernel Embedding
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
Harmonic Radar With Adaptively Phase-Coherent Auxiliary Transmitters
Stochastic Mirror Descent for Low-Rank Tensor Decomposition Under Non-Euclidean Losses
VR-PRUNE: Decidable Variable-Rate Dataflow for Signal Processing Systems
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using the Generalized Hyperbolic Prior
Learning Decentralized Wireless Resource Allocations With Graph Neural Networks
Three Dimensional Source Localization Using Arrival Angles from Linear Arrays: Analytical Investigation and Optimal Solution
Design and Testbed Implementation of Multiuser CFOs Estimation for MIMO SC-FDMA System
Low-Complexity LMMSE-Based Iterative Soft Interference Cancellation for MIMO Systems
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Delayed Combination of Adaptive Filters in Colored Noise
Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning
Disagreement-Based Active Learning in Online Settings
The Statistics of Superdirective Beam Patterns
A Fast and Efficient Change-Point Detection Framework Based on Approximate $k$-Nearest Neighbor Graphs
Tracking Multiple Spawning Targets Using Poisson Multi-Bernoulli Mixtures on Sets of Tree Trajectories
Deep Generative Models for Downlink Channel Estimation in FDD Massive MIMO Systems
GRACGE: Graph Signal Clustering and Multiple Graph Estimation
On Top-$k$ Selection From $m$-Wise Partial Rankings via Borda Counting
Low-Complexity ADMM-Based Algorithm for Robust Multi-Group Multicast Beamforming in Large-Scale Systems
Approximate Message Passing With Parameter Estimation for Heavily Quantized Measurements
New Closed-Form Joint Localization and Synchronization Using Sequential One-Way TOAs
Signal Reconstruction From Quantized Noisy Samples of the Discrete Fourier Transform
Mixed Near-Field and Far-Field Localization and Array Calibration With Partly Calibrated Arrays
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Community Inference From Partially Observed Graph Signals: Algorithms and Analysis
Grassmannian Optimization for Online Tensor Completion and Tracking With the t-SVD
Computational Array Signal Processing via Modulo Non-Linearities
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Multiple Support Recovery Using Very Few Measurements Per Sample
Bayesian Estimation of Graph Signals
Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning
Unsupervised Phase Retrieval Using Deep Approximate MMSE Estimation
Federated Online Deep Learning for CSIT and CSIR Estimation of FDD Multi-User Massive MIMO Systems
FRI-TEM: Time Encoding Sampling of Finite-Rate-of-Innovation Signals
Multi-Layered Recursive Least Squares for Time-Varying System Identification
Integrated Waveform Design for MIMO Radar and Communication via Spatio-Spectral Modulation
Regularized Tapered Sample Covariance Matrix
Direct Signal Separation via Extraction of Local Frequencies With Adaptive Time-Varying Parameters
A Frequency-Selective Digital Predistortion Method Based on a Generalized Indirect Learning Architecture
Asymptotic Performance of TDOA Estimation Using Satellites
A Secure Communication Scheme of Three-Variable Chaotic Coupling Synchronization Based on DNA Chemical Reaction Networks
Modeling and State Estimation of Linear Destination-Constrained Dynamic Systems
Extreme Compressed Sensing of Poisson Rates From Multiple Measurements
3-D Network Localization Using Angle Measurements and Reduced Communication
Detecting Central Nodes From Low-Rank Excited Graph Signals via Structured Factor Analysis
Inverse Beam Pattern Transform and Spatial Sampling for Uniform Array From Broadband Beamforming Perspective
Interval Privacy: A Framework for Privacy-Preserving Data Collection
On the Compensation of Timing Mismatch in Two-Channel Time-Interleaved ADCs: Strategies and a Novel Parallel Compensation Structure
Convex Optimization-Based Power Allocation Strategies for Target Localization in Distributed Hybrid Non-Coherent Active-Passive Radar Networks
Optimized Population Monte Carlo
Trainable Subspaces for Low Rank Tensor Completion: Model and Analysis
Dilated Nested Arrays With More Degrees of Freedom (DOFs) and Less Mutual Coupling—Part I: The Fundamental Geometry
DQLEL: Deep Q-Learning for Energy-Optimized LoS/NLoS UWB Node Selection
An Optimal Estimation Framework of Multi-Agent Systems With Random Transport Protocol
Joint Design of Shuffling and Function Assignment in Heterogeneous Coded Distributed Computing
Joint DoA-Range Estimation Using Space-Frequency Virtual Difference Coarray
Nonparametric Decentralized Detection and Sparse Sensor Selection via Multi-Sensor Online Kernel Scalar Quantization
One-Bit ADCs/DACs Based MIMO Radar: Performance Analysis and Joint Design
Orthogonal Delay Scale Space Modulation: A New Technique for Wideband Time-Varying Channels
Distributed and Scalable Uplink Processing for LIS: Algorithm, Architecture, and Design Trade-Offs
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations
Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Mc2g: An Efficient Algorithm for Matrix Completion With Social and Item Similarity Graphs
Structure Parameter Optimized Kernel Based Online Prediction With a Generalized Optimization Strategy for Nonstationary Time Series
Polar Deconvolution of Mixed Signals
Robust Linear Estimation With Non-Parametric Uncertainty: Average and Worst-Case Performance
Robust Decentralized Learning Using ADMM With Unreliable Agents
The Mirror Transform
Tikhonov Regularization of Circle-Valued Signals
Multilinear Generalized Singular Value Decomposition (ML-GSVD) and Its Application to Multiuser MIMO Systems
Analysis and Optimization of Transceiver IQ Imbalances in Artificial Noise Shielded FH Communication
Optimal Intermittent Particle Filter
Robust Resilient Diffusion Over Multi-Task Networks Against Byzantine Attacks: Design, Analysis and Applications
Corrections to “Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection”
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data
Adaptive Hammerstein Filtering via Recursive Non-Convex Projection
Graph Signal Processing: Dualizing GSP Sampling in the Vertex and Spectral Domains
Comments on “Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection”
DOA Estimation for Transmit Beamspace MIMO Radar via Tensor Decomposition With Vandermonde Factor Matrix
Generalized MBI Algorithm for Designing Sequence Set and Mismatched Filter Bank With Ambiguity Function Constraints
Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection
A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection
Deep Unfolding With Normalizing Flow Priors for Inverse Problems
Coded Demixing for Unsourced Random Access
Landscape Correspondence of Empirical and Population Risks in the Eigendecomposition Problem
Multi-Weight Nuclear Norm Minimization for Low-Rank Matrix Recovery in Presence of Subspace Prior Information
Localization Through Transceivers in Unknown Constant Velocity Trajectories
Decentralized Optimization Over the Stiefel Manifold by an Approximate Augmented Lagrangian Function
Bias-Bounded Estimation of AmbiguiTy: A Method for Radio Interferometric Positioning
Distributed Matrix Multiplication Based on Frame Quantization for Straggler Mitigation
Privacy-Preserving Distributed Kalman Filtering
A Semi-Blind Method for Localization of Underwater Acoustic Sources
Spectral Mappings for Graph Wavelets
Conservative Linear Unbiased Estimation Under Partially Known Covariances
ChevOpt: Continuous-Time State Estimation by Chebyshev Polynomial Optimization
Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent
Change Point Detection and Node Clustering for Time Series of Graphs
Cramér-Rao Lower Bounds of Model-Based Electrocardiogram Parameter Estimation
