IEEE Signal Processing Society
Table of Contents
Table of Contents [EDICS]
Tensor Completion From Regular Sub-Nyquist Samples
On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint
Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters
Robust Two-Stage Reduced-Dimension Sparsity-Aware STAP for Airborne Radar With Coprime Arrays
CSI-Independent Non-Linear Signal Detection in Molecular Communications
Multi-Channel Factor Analysis With Common and Unique Factors
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy
Gaussian Conditionally Markov Sequences: Dynamic Models and Representations of Reciprocal and Other Classes
Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems With Quantized Phase Shifters
Robust Matrix Completion via Maximum Correntropy Criterion and Half-Quadratic Optimization
Un-Rectifying Non-Linear Networks for Signal Representation
Robust Beamforming for NOMA-Based Cellular Massive IoT With SWIPT
LDA via L1-PCA of Whitened Data
Computationally Efficient Distributed Multi-Sensor Fusion With Multi-Bernoulli Filter
On Low-Complexity Lattice Reduction Algorithms for Large-Scale MIMO Detection: The Blessing of Sequential Reduction
Robust Cell-Load Learning With a Small Sample Set
Precise 3-D GNSS Attitude Determination Based on Riemannian Manifold Optimization Algorithms
A Spatial–Temporal Subspace-Based Compressive Channel Estimation Technique in Unknown Interference MIMO Channels
Nonlinear Filtering With Variable Bandwidth Exponential Kernels
A Tensor-Based Approach to Joint Channel Estimation/Data Detection in Flexible Multicarrier MIMO Systems
Cramér-Rao Bound for DOA Estimators Under the Partial Relaxation Framework: Derivation and Comparison
Dynamic Sensor Subset Selection for Centralized Tracking of an IID Process
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy
Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems
Safe Squeezing for Antisparse Coding
Distributed Clustering Algorithm in Sensor Networks via Normalized Information Measures
Novel Short-Time Fractional Fourier Transform: Theory, Implementation, and Applications
Decentralized Multi-Agent Stochastic Optimization With Pairwise Constraints and Quantized Communications
Parametric Signal Estimation Using the Cumulative Distribution Transform
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems
Bayes-Optimal MMSE Detector for Massive MIMO Relaying With Low-Precision ADCs/DACs
A Method for Reducing the Performance Gap Between Non-Coherent and Coherent Sub-Arrays
Nearly Optimal Adaptive Sequential Tests for Object Detection
AOA Pseudolinear Target Motion Analysis in the Presence of Sensor Location Errors
Blind Audio Source Separation With Minimum-Volume Beta-Divergence NMF
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network-Based Vector-to-Vector Regression
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation
Stabilization of a Modified LMS Algorithm for Canceling Nonlinear Memory Effects
Improved Most Likely Heteroscedastic Gaussian Process Regression via Bayesian Residual Moment Estimator
Frequency-Domain Prony Method for Autoregressive Model Identification and Sinusoidal Parameter Estimation
An Interference-Tolerant Algorithm for Wide-Band Moving Source Passive Localization
Distributed Constrained Online Learning
Distributed Compressive Sensing: Performance Analysis With Diverse Signal Ensembles
NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection
Beamspace Direct Localization for Large-Scale Antenna Array Systems
A Unified Probabilistic View on Spatially Informed Source Separation and Extraction Based on Independent Vector Analysis
Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter
Efficient Low-Rank Approximation of Matrices Based on Randomized Pivoted Decomposition
Exploring Positive Noise in Estimation Theory
Digital Predistortion for Multiuser Hybrid MIMO at mmWaves
Quadratic Optimization for Unimodular Sequence Design via an ADPM Framework
An Enhanced Spatial Smoothing Technique With ESPRIT Algorithm for Direction of Arrival Estimation in Coherent Scenarios
Unified and Self-Stabilized Parallel Algorithm for Multiple Generalized Eigenpairs Extraction
Spectrum Cartography via Coupled Block-Term Tensor Decomposition
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications
Cost-Aware Cascading Bandits
Efficient Least Residual Greedy Algorithms for Sparse Recovery
Sub-Nyquist Spectrum Sensing of Sparse Wideband Signals Using Low-Density Measurement Matrices
Multi-Group Multicast Beamforming: Optimal Structure and Efficient Algorithms
Denial-of-Service Attacks on Communication Systems: Detectability and Jammer Knowledge
Binary Sequence Set Design for Interferer Rejection in Multi-Branch Modulation
A Variational Bayes Approach to Adaptive Radio Tomography
Learning to Bound the Multi-Class Bayes Error
Efficient Estimation of Graph Signals With Adaptive Sampling
Fixed-Point Minimum Error Entropy With Fiducial Points
Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable Recovery
Model-Based Robust Filtering and Experimental Design for Stochastic Differential Equation Systems
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures
Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering
A Globally Optimal Energy-Efficient Power Control Framework and Its Efficient Implementation in Wireless Interference Networks
CFAR Feature Plane: A Novel Framework for the Analysis and Design of Radar Detectors
A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar
IIR Filtering on Graphs With Random Node-Asynchronous Updates
Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data
Doppler Shifting Technique for Generating Multi-Frames of Video SAR via Sub-Aperture Signal Processing
Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements
Greedy Algorithms for Sparse and Positive Signal Recovery Based on Bit-Wise MAP Detection
Understanding the Quintile Portfolio
Novel Fractional Wavelet Packet Transform: Theory, Implementation, and Applications
Optimal Resource Allocation for Asynchronous Multiple Targets Tracking in Heterogeneous Radar Networks
Differential Private Noise Adding Mechanism and Its Application on Consensus Algorithm
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers
Low-Complexity On-Demand Reconstruction for Compressively Sensed Problematic Signals
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization—Part I: Algorithms and Convergence Analysis
Persymmetric Adaptive Detection of Distributed Targets With Unknown Steering Vectors
Estimation of Dynamically Varying Support of Sparse Signals via Sequential Monte-Carlo Method
Fractional Spectrum Analysis for Nonuniform Sampling in the Presence of Clock Jitter and Timing Offset
Distributed Separated-Decorrelation LMS Algorithms Over Sensor Networks With Noisy Inputs
Non-Bayesian Social Learning With Uncertain Models
Parametric Sparse Bayesian Dictionary Learning for Multiple Sources Localization With Propagation Parameters Uncertainty
Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion
Privacy-Preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Penalty Dual Decomposition Method for Nonsmooth Nonconvex Optimization—Part II: Applications
Performance Bounds for Complex-Valued Independent Vector Analysis
Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications
A Simple Derivation of AMP and its State Evolution via First-Order Cancellation
A New Atomic Norm for DOA Estimation With Gain-Phase Errors
Radar Adaptive Detection Architectures for Heterogeneous Environments
Asymptotic Performance of Discrete-Valued Vector Reconstruction via Box-Constrained Optimization With Sum of $\ell _{1}$ Regularizers
Bayesian Spatial Field Reconstruction With Unknown Distortions in Sensor Networks
On the Influence of Bias-Correction on Distributed Stochastic Optimization
Efficient Attributed Scatter Center Extraction Based on Image-Domain Sparse Representation
Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations
Generating Sparse Stochastic Processes Using Matched Splines
Sparse Robust Learning From Flipped Bits
Graph Fourier Transform: A Stable Approximation
Multistatic Moving Object Localization by a Moving Transmitter of Unknown Location and Offset
A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost
Can Primal Methods Outperform Primal-Dual Methods in Decentralized Dynamic Optimization?
The Autoregressive Linear Mixture Model: A Time-Series Model for an Instantaneous Mixture of Network Processes
Blind Interference Alignment With ISI: A New Look at OFDM for $K$-User Interference Channels
Algorithms for Globally-Optimal Secure Signaling Over Gaussian MIMO Wiretap Channels Under Interference Constraints
Identifying Cognitive Radars - Inverse Reinforcement Learning Using Revealed Preferences
Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization
MM-GLMB Filter-Based Sensor Control for Tracking Multiple Maneuvering Targets Hidden in the Doppler Blind Zone
Localized Analysis of Signals on the Sphere Over Polygon Regions
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks
Padded Coprime Arrays for Improved DOA Estimation: Exploiting Hole Representation and Filling Strategies
A Deterministic Theory for Exact Non-Convex Phase Retrieval
Identifiability Conditions for Compressive Multichannel Blind Deconvolution
Diffusion Average-Estimate Bias-Compensated LMS Algorithms Over Adaptive Networks Using Noisy Measurements
On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation
An Algebraic Closed-Form Solution for Bearings-Only Maneuvering Target Motion Analysis From a Nonmaneuvering Platform
Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant
Constructions of Cross Z-Complementary Pairs With New Lengths
Subspace-Based Near-Field Source Localization in Unknown Spatially Nonuniform Noise Environment
Deeply-Sparse Signal rePresentations (D$\text{S}^2$P)
Change Detection in Complex Dynamical Systems Using Intrinsic Phase and Amplitude Synchronization
A Statistical Time-Frequency Model for Non-stationary Time Series Analysis
Convolution Idempotents With a Given Zero-Set
Solving Complex Quadratic Systems With Full-Rank Random Matrices
Sparse Array Design via Fractal Geometries
Duhamel/Hollmann-Like Discrete Fourier Transform Algorithm With the Smallest Multiplicative Complexity Over a Finite Field
Online Trajectory Optimization Using Inexact Gradient Feedback for Time-Varying Environments
Localization of a Moving Source by Frequency Measurements
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
Bayesian Methods for Multiple Change-Point Detection With Reduced Communication
Double-Talk Robust Multichannel Acoustic Echo Cancellation Using Least-Squares MIMO Adaptive Filtering: Transversal, Array, and Lattice Forms
Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels
On the Max-Min Fairness of Beamspace MIMO-NOMA
Trajectory Poisson Multi-Bernoulli Filters
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels
Estimation of Sinusoidal Frequency-Modulated Signal Parameters by Two Branches and Two Stages
Security-Enhanced Filter Design for Stochastic Systems under Malicious Attack via Smoothed Signal Model and Multiobjective Estimation Method
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems
Robust Semiparametric Efficient Estimators in Complex Elliptically Symmetric Distributions
Exact Blind Community Detection From Signals on Multiple Graphs
Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery
Subspace Clustering Without Knowing the Number of Clusters: A Parameter Free Approach
Tune Smarter Not Harder: A Principled Approach to Tuning Learning Rates for Shallow Nets
Two Dimensional Efficient Multiplier-Less Structures of Möbius Function for Ramanujan Filter Banks
A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels
Extended Object Tracking Using Random Matrix With Skewness
Multi-Set Low-Rank Factorizations With Shared and Unshared Components
Robust Adaptive Beamforming Based on Linearly Modified Atomic-Norm Minimization With Target Contaminated Data
Action-Manipulation Attacks Against Stochastic Bandits: Attacks and Defense
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
Adaptive Persymmetric Subspace Detectors in the Partially Homogeneous Environment
Stereo Acoustic Echo Cancellation Based on Maximum Likelihood Estimation With Inter-Channel-Correlated Echo Compensation
Distributed Multi-Sensor Fusion of PHD Filters With Different Sensor Fields of View
On DoA Estimation for Rotating Arrays Using Stochastic Maximum Likelihood Approach
Cramér–Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models
Learning Proximal Operator Methods for Nonconvex Sparse Recovery with Theoretical Guarantee
Linear Multiple Low-Rank Kernel Based Stationary Gaussian Processes Regression for Time Series
Large Intelligent Surface Aided Physical Layer Security Transmission
Model-Based Deep Learning for One-Bit Compressive Sensing
Orthogonal Periodic Sequences for the Identification of Functional Link Polynomial Filters
Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals
Performance of Analog Beamforming Systems With Optimized Phase Noise Compensation
Exact and Robust Reconstructions of Integer Vectors Based on Multidimensional Chinese Remainder Theorem (MD-CRT)
Collaborative Sequential State Estimation Under Unknown Heterogeneous Noise Covariance Matrices
Uniform RIP Conditions for Recovery of Sparse Signals by $\ell _p\,(0< p\leq 1)$ Minimization
Convolutional Beamspace for Linear Arrays
Cooperative Detection by Multi-Agent Networks in the Presence of Position Uncertainty
Perturbed Amplitude Flow for Phase Retrieval
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
An Investigation and Solution of Angle Based Rigid Body Localization
Random Phaseless Sampling for Causal Signals in Shift-Invariant Spaces: A Zero Distribution Perspective
Erratum to “Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing” [Mar 20 2143-2154]
Robust Transceiver Design for AF Asymmetric Two-Way MIMO Relaying
On the Inclusion and Utilization of Pilot Tones in Unique Word OFDM
Two-Dimensional $Z$-Complementary Array Code Sets Based on Matrices of Generating Polynomials
FRI Sensing: Retrieving the Trajectory of a Mobile Sensor From Its Temporal Samples
New Optimal $Z$-Complementary Code Sets Based on Generalized Paraunitary Matrices
System Identification of High-Dimensional Linear Dynamical Systems With Serially Correlated Output Noise Components
Iterative and Adjustable Soft List Decoding for Polar Codes
Channel Estimation: Unified View of Optimal Performance and Pilot Sequences
Riemannian Geometric Optimization Methods for Joint Design of Transmit Sequence and Receive Filter on MIMO Radar
Quaternion-Based Bilinear Factor Matrix Norm Minimization for Color Image Inpainting
Deviance Tests for Graph Estimation From Multi-Attribute Gaussian Data
Radio Transient Detection in Radio Astronomical Arrays
Phase-Only Robust Minimum Dispersion Beamforming
Stability Properties of Graph Neural Networks
Multilabel Classification With Multivariate Time Series Predictors
Multi-Carrier Agile Phased Array Radar
Maximum Likelihood Detection in the Presence of Non-Gaussian Jamming
Tractable Inference and Observation Likelihood Evaluation in Latent Structure Influence Models
Generalized Fixed-Point Continuation Method: Convergence and Application
Analysis of the SNR Loss Distribution With Covariance Mismatched Training Samples
Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model
Spatial GNSS Spoofing Against Drone Swarms With Multiple Antennas and Wiener Filter
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
Stability Analysis of $\ell _{0,\infty }$-Norm Based Convolutional Sparse Coding Using Stripe Coherence
Localization of a Moving Object With Sensors in Motion by Time Delays and Doppler Shifts
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization
Fusion of Labeled RFS Densities With Minimum Information Loss
3-D Distributed Localization With Mixed Local Relative Measurements
An Exact Expectation Model for the LMS Tracking Abilities
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator
A Note on BIBO Stability
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm
Erratum to “Security-Enhanced Filter Design for Stochastic Systems Under Malicious Attack via Smoothed Signal Model and Multiobjective Estimation Method” [20 4971-4986]
Distributed Coding of Quantized Random Projections
Variable Step-Size Widely Linear Complex-Valued Affine Projection Algorithm and Performance Analysis
A Node-Reliability Based CRC-Aided Successive Cancellation List Polar Decoder Architecture Combined With Post-Processing
Power Allocation Schemes for Uplink Massive MIMO System in the Presence of Imperfect CSI
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework
Wavelet Based Multivariate Signal Denoising Using Mahalanobis Distance and EDF Statistics
Distributed Approximate Newton's Method Robust to Byzantine Attackers
Configuration Optimization and Channel Estimation in Hybrid Beamforming mmWave Systems With Channel Support Side Information
Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy
Defect Detection and Classification by Training a Generic Convolutional Neural Network Encoder
SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry
Fast Optimization With Zeroth-Order Feedback in Distributed, Multi-User MIMO Systems
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication
Optimal Sequential Estimation for Asynchronous Sampling Discrete—Time Systems
Best Pair Formulation & Accelerated Scheme for Non-Convex Principal Component Pursuit
High-Resolution DOA Estimation Algorithm for a Single Acoustic Vector Sensor at Low SNR
Convergence Guarantees for Non-Convex Optimisation With Cauchy-Based Penalties
Low-Rank Hankel Matrix Completion for Robust Time-Frequency Analysis
Sampling and Inference of Networked Dynamics Using Log-Koopman Nonlinear Graph Fourier Transform
Student's $t$ VAR Modeling With Missing Data Via Stochastic EM and Gibbs Sampling
Distributed Nonlinear Estimation Over Unbalanced Directed Networks
Communication Under Channel Uncertainty: An Algorithmic Perspective and Effective Construction
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
High-Dimensional Nonconvex Stochastic Optimization by Doubly Stochastic Successive Convex Approximation
Gated Graph Recurrent Neural Networks
Online Proximal Learning Over Jointly Sparse Multitask Networks With $\ell _{\infty, 1}$ Regularization
Learned Conjugate Gradient Descent Network for Massive MIMO Detection
Turing Meets Shannon: Computable Sampling Type Reconstruction With Error Control
Bilinear Compressed Sensing Under Known Signs via Convex Programming
Lattice Reduction Over Imaginary Quadratic Fields
Efficient Generalized Boundary Detection Using a Sliding Information Distance
Hybrid Beamforming for Active Sensing Using Sparse Arrays
Alternating Minimization Based First-Order Method for the Wireless Sensor Network Localization Problem
Scale-Invariant Subspace Detectors Based on First- and Second-Order Statistical Models
On Computing the Discrete Hirschman Transform
Defining Fundamental Frequency for Almost Harmonic Signals
Two-User SIMO Interference Channel With Treating Interference as Noise: Improper Signaling Versus Time-Sharing
Variational Bayesian Estimation of Statistical Properties of Composite Gamma Log-Normal Distribution
Group Sparsity Based Localization for Far-Field and Near-Field Sources Based on Distributed Sensor Array Networks
Optimal Local Differentially Private Quantization
Joint Source and Sensor Localization by Angles of Arrival
Tensor Graph Convolutional Networks for Multi-Relational and Robust Learning
Lossless Dimension Reduction for Integer Least Squares With Application to Sphere Decoding
Joint Features Extraction for Multiple Moving Targets Using (Ultra-)Wideband FMCW Signals in the Presence of Doppler Ambiguity
Cooperative Activity Detection: Sourced and Unsourced Massive Random Access Paradigms
Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery
Target Localization by Unlabeled Range Measurements
Low-Complexity Decorrelation NLMS Algorithms: Performance Analysis and AEC Application
Learning Deep Analysis Dictionaries for Image Super-Resolution
Single-Pulse Simultaneous Target Detection and Angle Estimation in a Multichannel Phased Array Radar
A Grant-Free Method for Massive Machine-Type Communication With Backward Activity Level Estimation
A Closed-Form Estimator for Bearings-Only Fusion of Heterogeneous Passive Sensors
Approximation Algorithms for Training One-Node ReLU Neural Networks
Phased-Array Transmission for Secure mmWave Wireless Communication via Polygon Construction
On the Convergence of a Bayesian Algorithm for Joint Dictionary Learning and Sparse Recovery
Multi-Class Random Matrix Filtering for Adaptive Learning
Blind Deconvolution Using Modulated Inputs
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals
Components Separation Algorithm for Localization and Classification of Mixed Near-Field and Far-Field Sources in Multipath Propagation
A Dimension Reduction-Based Joint Activity Detection and Channel Estimation Algorithm for Massive Access
Blind Community Detection From Low-Rank Excitations of a Graph Filter
Kinetic Euclidean Distance Matrices
Joint Waveform and Receiver Design for Co-Channel Hybrid Active-Passive Sensing With Timing Uncertainty
Generalized Rational Variable Projection With Application in ECG Compression
The Extended Manifold for Antenna Arrays
Efficient QP-ADMM Decoder for Binary LDPC Codes and Its Performance Analysis
Variations on the Convolutional Sparse Coding Model
Corrections to “Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?” [Jul 1, 2016 3444-3457]
Turing Computability of Fourier Transforms of Bandlimited and Discrete Signals
Multipath Suppression for Continuous Wave Radar via Slepian Sequences
Source Separation With Side Information Based on Gaussian Mixture Models With Application in Art Investigation
Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems
An Asymptotically Efficient Weighted Least Squares Estimator for Co-Array-Based DoA Estimation
Cloud-Assisted Cooperative Localization for Vehicle Platoons: A Turbo Approach
Quadratic FM Signal Detection and Parameter Estimation Using Coherently Integrated Trilinear Autocorrelation Function
Localization in 2D PBR With Multiple Transmitters of Opportunity: A Constrained Least Squares Approach
Minimum Byzantine Effort for Blinding Distributed Detection in Wireless Sensor Networks
Joint Range and Velocity Estimation With Intrapulse and Intersubcarrier Doppler Effects for OFDM-Based RadCom Systems
List of Reviewers
2020 Index IEEE Transactions on Signal Processing Vol. 68
Stochastic Analysis of the Recursive Least Squares Algorithm for Cyclostationary Colored Inputs
Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms
Hybrid Transceivers Design for Large-Scale Antenna Arrays Using Majorization-Minimization Algorithms
Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication–Radar
Distributed Online Convex Optimization With Time-Varying Coupled Inequality Constraints
Reconstructing Classes of Non-Bandlimited Signals From Time Encoded Information
Compressive Sensing-Based Adaptive Active User Detection and Channel Estimation: Massive Access Meets Massive MIMO
Distributed Linear Estimation Via a Roaming Token
Target Detection With Imperfect Waveform Separation in Distributed MIMO Radar
One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises
Quickly Finding the Best Linear Model in High Dimensions via Projected Gradient Descent
Distributed Sequential Detection: Dependent Observations and Imperfect Communication
Multi-UAV Interference Coordination via Joint Trajectory and Power Control
Massive MIMO Radar for Target Detection
Sparse Bayesian DOA Estimation Using Hierarchical Synthesis Lasso Priors for Off-Grid Signals
Efficient and Unambiguous Two-Target Resolution via Subarray-Based Four-Channel Monopulse
Suboptimal Low Complexity Joint Multi-Target Detection and Localization for Non-Coherent MIMO Radar With Widely Separated Antennas
On the Performance of Splitting Receiver With Joint Coherent and Non-Coherent Processing
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization
Scalable and Robust Community Detection With Randomized Sketching
Maximum Total Complex Correntropy for Adaptive Filter
Asynchronous Blind Network-Assisted Diversity Multiple Access
Multiple Bayesian Filtering as Message Passing
Distributions and Power of Optimal Signal-Detection Statistics in Finite Case
Subspace Learning and Feature Selection via Orthogonal Mapping
Gridless Parameter Estimation for One-Bit MIMO Radar With Time-Varying Thresholds
Distributed Optimal Linear Fusion Predictors and Filters for Systems With Random Parameter Matrices and Correlated Noises
Min-Max Metric for Spectrally Compatible Waveform Design Via Log-Exponential Smoothing
Prospect Theoretic Utility Based Human Decision Making in Multi-Agent Systems
Sampling and Reconstruction of Bandlimited Signals With Multi-Channel Time Encoding
Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow
Low-Complexity Methods for Estimation After Parameter Selection
A Low-Rank Tensor Dictionary Learning Method for Hyperspectral Image Denoising
Searching for Anomalies Over Composite Hypotheses
Diffuse Multipath Exploitation for Adaptive Detection of Range Distributed Targets
Generalized Fast-Convolution-Based Filtered-OFDM: Techniques and Application to 5G New Radio
Orthogonal and Non-Orthogonal Signal Representations Using New Transformation Matrices Having NPM Structure
Aperture-Level Simultaneous Transmit and Receive With Digital Phased Arrays
Frame Repetition: A Solution to Imaginary Interference Cancellation in FBMC/OQAM Systems
PhaseEqual: Convex Phase Retrieval via Alternating Direction Method of Multipliers
Online Trajectory and Radio Resource Optimization of Cache-Enabled UAV Wireless Networks With Content and Energy Recharging
Continuous-Discrete Multiple Target Filtering: PMBM, PHD and CPHD Filter Implementations
Distributed Sensing With Orthogonal Multiple Access: To Code or not to Code?
Algorithms for Change Detection With Sparse Signals
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
Direct Target Tracking by Distributed Gaussian Particle Filtering for Heterogeneous Networks
Multi-Stage Antenna Selection for Adaptive Beamforming in MIMO Radar
Variance-Reduced Stochastic Learning Under Random Reshuffling
Accelerated Structure-Aware Reinforcement Learning for Delay-Sensitive Energy Harvesting Wireless Sensors
Consensus-Based Clock Synchronization in Wireless Sensor Networks With Truncated Exponential Delays
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
Nonsmooth Optimization Algorithms for Multicast Beamforming in Content-Centric Fog Radio Access Networks
On the Adversarial Robustness of Subspace Learning
Decentralized Expectation Consistent Signal Recovery for Phase Retrieval
Tunable Adaptive Target Detection With Kernels in Colocated MIMO Radar
Nonlinear Adaptive Filtering With Kernel Set-Membership Approach
Cross Z-Complementary Pairs for Optimal Training in Spatial Modulation Over Frequency Selective Channels
Joint Design of Surveillance Radar and MIMO Communication in Cluttered Environments
Graph Signal Processing in the Presence of Topology Uncertainties
Risk Convergence of Centered Kernel Ridge Regression With Large Dimensional Data
Multi-Target Detection With an Arbitrary Spacing Distribution
Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems
New Viewpoint and Algorithms for Water-Filling Solutions in Wireless Communications
Dictionary Learning With BLOTLESS Update
Energy-Optimal Multiple Access Computation Offloading: Signalling Structure and Efficient Communication Resource Allocation
Rao-Based Detectors for Adaptive Target Detection in the Presence of Signal-Dependent Interference
Partially Coherent Compressive Phase Retrieval for Millimeter-Wave Massive MIMO Channel Estimation
Generative Models for Low-Dimensional Video Representation and Reconstruction
Model-Driven Deep Learning for MIMO Detection
Joint EigenValue Decomposition Algorithms Based on First-Order Taylor Expansion
Hybrid Inexact BCD for Coupled Structured Matrix Factorization in Hyperspectral Super-Resolution
Quadratic Semidefinite Programming for Waveform-Constrained Joint Filter-Signal Design in STAP
A Dictionary-Based Generalization of Robust PCA With Applications to Target Localization in Hyperspectral Imaging
Eigenvectors of Ordinary, Generalized, Centered and Offset Discrete Fourier Transforms Based on Lookup Table Methods: Efficiency and Approximation Uses
Learning Nonnegative Factors From Tensor Data: Probabilistic Modeling and Inference Algorithm
Robust and Computationally Efficient Digital IIR Filter Synthesis and Stability Analysis Under Finite Precision Implementations
A False Discovery Rate Oriented Approach to Parallel Sequential Change Detection Problems
Robust SINR-Constrained Symbol-Level Multiuser Precoding With Imperfect Channel Knowledge
Algebraic Complete Solution for Joint Source and Sensor Localization Using Time of Flight Measurements
Quaternion Non-Negative Matrix Factorization: Definition, Uniqueness, and Algorithm
Support Recovery for Sparse Signals With Unknown Non-Stationary Modulation
Fast Algorithms for Joint Multicast Beamforming and Antenna Selection in Massive MIMO
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss
Analysis of Different Rational Decimated Filter Banks Derived From the Same Set of Prototype Filters
Two-Dimensional Modular Chaotification System for Improving Chaos Complexity
Large-Amplitude Dithering Mitigates Glitches in Digital-to-Analogue Converters
Measurement of Power Density at Zero Frequency With a Trend Compensation
MIMO Radar Waveform Design in the Presence of Multiple Targets and Practical Constraints
Directional Sparse Filtering for Blind Estimation of Under-Determined Complex-Valued Mixing Matrices
Practical Product Code Construction of Polar Codes
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series
Sparse Multiresolution Representations With Adaptive Kernels
Invariance Theory for Adaptive Detection in Non-Gaussian Clutter
Distributed Signal Processing and Optimization Based on In-Network Subspace Projections
Fast and Efficient Time-Reversal Imaging Using Space-Frequency Propagator Method
Affine Combination of Diffusion Strategies Over Networks
On Optimality of Weighted Multidimensional Scaling for Range-Based Localization
Non-Parametric Decompounding of Pulse Pile-Up Under Gaussian Noise With Finite Data Sets
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning
Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing
Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air
Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
Distributed Dual Gradient Tracking for Resource Allocation in Unbalanced Networks
Diffusion Normalized Least Mean M-estimate Algorithms: Design and Performance Analysis
Joint Subcarrier and Power Allocation in NOMA: Optimal and Approximate Algorithms
On the Design of Multi-Spectrally Constrained Constant Modulus Radar Signals
Quadratic Matrix Inequality Approach to Robust Adaptive Beamforming for General-Rank Signal Model
Eigenspace Solution for AOA Localization in Modified Polar Representation
Generalized Sampling on Graphs With Subspace and Smoothness Priors
Network Dissensus via Distributed ADMM
Calibration of Phase Shifter Network for Hybrid Beamforming in mmWave Massive MIMO Systems
Optimal Sensor Placement for 2-D Range-Only Target Localization in Constrained Sensor Geometry
Blind Recognition of Cyclic Codes Based on Average Cosine Conformity
Two-Channel Passive Detection of Cyclostationary Signals
Majorize–Minimize Adapted Metropolis–Hastings Algorithm
ImdLMS: An Imputation Based LMS Algorithm for Linear System Identification With Missing Input Data
Variance State Propagation for Structured Sparse Bayesian Learning
Comments on “Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?”
A Closed-Form Prediction Update for Extended Target Tracking Using Random Matrices
Fast Graph Sampling Set Selection Using Gershgorin Disc Alignment
Soft Symbol Decoding in Sweep-Spread-Carrier Underwater Acoustic Communications: A Novel Variational Bayesian Algorithm and Its Analysis
Functional Nonlinear Sparse Models
A Large Dimensional Study of Regularized Discriminant Analysis
Shapes From Echoes: Uniqueness From Point-to-Plane Distance Matrices
A Provably Correct and Robust Algorithm for Convolutive Nonnegative Matrix Factorization
Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization
Mixed Monotonic Programming for Fast Global Optimization
Efficient Closed-Form Solution for Moving Target Localization in MIMO Radars With Minimum Number of Antennas
Convolutional Dictionary Learning With Grid Refinement
A Generalized Version of ACE and Performance Analysis
Graph-Adaptive Semi-Supervised Tracking of Dynamic Processes Over Switching Network Modes
Joint Channel and Location Estimation of Massive MIMO System With Phase Noise
Gaussian Process Reinforcement Learning for Fast Opportunistic Spectrum Access
Optimal Pilots for Anti-Eavesdropping Channel Estimation
Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission With Statistical CSIT
Accelerated Schemes for the $L_1/L_2$ Minimization
Frequency Diverse Array Radar: New Results and Discrete Fourier Transform Based Beampattern
Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation
Nonlinear Multiview Analysis: Identifiability and Neural Network-Assisted Implementation
Real-Time Embedded EMG Signal Analysis for Wrist-Hand Pose Identification
Augmented Space Linear Models
Diffusion Maps Kalman Filter for a Class of Systems With Gradient Flows
A Solution for Large-Scale Multi-Object Tracking
Resolving Range Ambiguity via Multiple-Input Multiple-Output Radar With Element-Pulse Coding
Sherman-Morrison Formula Aided Adaptive Channel Estimation for Underwater Visible Light Communication With Fractionally-Sampled OFDM
A New Class of Explicit Interpolatory Splines and Related Measurement Estimation
Graph Sampling for Matrix Completion Using Recurrent Gershgorin Disc Shift
Differential and Weighted Slepian Concentration Problems on the Sphere
Feature Graph Learning for 3D Point Cloud Denoising
Learning Nonlinear Mixtures: Identifiability and Algorithm
Graph-Based Learning Under Perturbations via Total Least-Squares
On Arithmetic Average Fusion and Its Application for Distributed Multi-Bernoulli Multitarget Tracking
On Analog Gradient Descent Learning Over Multiple Access Fading Channels
Tracking Multiple Maneuvering Targets Hidden in the DBZ Based on the MM-GLMB Filter
A MIMO Version of the Reed-Yu Detector and Its Connection to the Wilks Lambda and Hotelling $T^2$ Statistics
Making Decisions by Unlabeled Bits
Adaptation and Learning Over Networks Under Subspace Constraints—Part II: Performance Analysis
Distributed Detection of Sparse Stochastic Signals With 1-Bit Data in Tree-Structured Sensor Networks
Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks
Topological Signal Processing Over Simplicial Complexes
Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions
Training Data Assisted Anomaly Detection of Multi-Pixel Targets In Hyperspectral Imagery
A Generalized Accelerated Composite Gradient Method: Uniting Nesterov's Fast Gradient Method and FISTA
Estimating Network Processes via Blind Identification of Multiple Graph Filters
Data-Driven Structured Noise Filtering via Common Dynamics Estimation
Multiple Change Points Detection in Low Rank and Sparse High Dimensional Vector Autoregressive Models
An Online Learning Algorithm for Distributed Task Offloading in Multi-Access Edge Computing
NOMA-Aided UAV Communications over Correlated Rician Shadowed Fading Channels
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces
Blind Channel Estimation for Downlink Massive MIMO Systems With Imperfect Channel Reciprocity
Variants of Partial Update Augmented CLMS Algorithm and Their Performance Analysis
Global Synchronization of Pulse-Coupled Oscillator Networks Under Byzantine Attacks
Lower Bound for RIP Constants and Concentration of Sum of Top Order Statistics
