1053-587X

IEEE Transactions on Signal Processing （TSP） - 论文列表

点击这里查看 IEEE Transactions on Signal Processing 的JCR分区、影响因子等信息
卷期号： 69
发布时间：
卷期年份： 2021
卷期官网： https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9307529&issue_denial=true&userType=&issue_login=true
本期论文列表
Table of Contents

Table of Contents

IEEE Signal Processing Society

Statistical Inference for the Expected Utility Portfolio in High Dimensions

Particle Filtering for Nonlinear/Non-Gaussian Systems With Energy Harvesting Sensors Subject to Randomly Occurring Sensor Saturations

Waveform Design for Collocated MIMO Radar With High-Mix-Low-Resolution ADCs

CPGD: Cadzow Plug-and-Play Gradient Descent for Generalised FRI

A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks

Bayesian Reconstruction of Fourier Pairs

Generalized Multiplexed Waveform Design Framework for Cost-Optimized MIMO Radar

On the Solvability of the Peak Value Problem for Bandlimited Signals With Applications

Optimality Conditions of Performance-Guaranteed Power Minimization in MIMO Networks: A Distributed Algorithm and Its Feasibility

Ridge-Aware Weighted Sparse Time-Frequency Representation

Fast Graph Filters for Decentralized Subspace Projection

Adaptive Superresolution in Deconvolution of Sparse Peaks

Matrix-Monotonic Optimization $-$ Part II: Multi-Variable Optimization

Expectation Propagation-Based Sampling Decoding: Enhancement and Optimization

Online Topology Identification From Vector Autoregressive Time Series

Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning

Reduced-Rank L1-Norm Principal-Component Analysis With Performance Guarantees

Shrinking the Eigenvalues of M-Estimators of Covariance Matrix

Optimal Opponent Stealth Trajectory Planning Based on an Efficient Optimization Technique

Decentralized Online Convex Optimization With Event-Triggered Communications

Convolutional Neural Network-Aided Tree-Based Bit-Flipping Framework for Polar Decoder Using Imitation Learning

Network Topology Inference From Heterogeneous Incomplete Graph Signals

Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach

Time Encoding of Bandlimited Signals: Reconstruction by Pseudo-Inversion and Time-Varying Multiplierless FIR Filtering

Robust Variational-Based Kalman Filter for Outlier Rejection With Correlated Measurements

Cascaded Spline-Based Models for Complex Nonlinear Systems: Methods and Applications

Subspace-Based Estimation of Rapidly Varying Mobile Channels for OFDM Systems

Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach

Subspace-Constrained Array Response Estimation in the Presence of Model Errors

Nonparametric Compositional Stochastic Optimization for Risk-Sensitive Kernel Learning

Robust Power Allocation for Resource-Aware Multi-Target Tracking With Colocated MIMO Radars

RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection

Importance Gaussian Quadrature

Learning Gaussian Graphical Models With Ordered Weighted $\ell _1$ Regularization

UVeQFed: Universal Vector Quantization for Federated Learning

On the Adversarial Robustness of Hypothesis Testing

Blind Direction-of-Arrival Estimation in Acoustic Vector-Sensor Arrays via Tensor Decomposition and Kullback-Leibler Divergence Covariance Fitting

Protocol-Based Tobit Kalman Filter Under Integral Measurements and Probabilistic Sensor Failures

Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals

MAP Ratio Test Detector for Radar System

Zeroth-Order Diffusion Adaptive Filter Over Networks

Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions

Approximate Message Passing With Unitary Transformation for Robust Bilinear Recovery

Source Localization with Feedback Beamforming

Maximum Likelihood Time Synchronization for Zero-Padded OFDM

Adaptive IQ Mismatch Compensation in Time-Domain Using Frequency-Domain Observations

Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function

The Benefits of Acting Locally: Reconstruction Algorithms for Sparse in Levels Signals With Stable and Robust Recovery Guarantees

Approximate Inference and Learning of State Space Models With Laplace Noise

Conservative Stochastic Optimization With Expectation Constraints

Adaptive Radar Detection Without Secondary Data for Uncooperative Spectrum Sharing Scenarios

Conditional and Unconditional Cramér-Rao Bounds for Near-Field Localization in Bistatic MIMO Radar Systems

Erratum to “Massive MIMO radar for target detection”

An Efficient and Flexible Spike Train Model Via Empirical Bayes

Block Coordinate Descent Algorithms for Auxiliary-Function-Based Independent Vector Extraction

Learning-Based Predictive Transmitter-Receiver Beam Alignment in Millimeter Wave Fixed Wireless Access Links

Spatial- and Range- ISLR Trade-Off in MIMO Radar Via Waveform Correlation Optimization

Serial Quantization for Sparse Time Sequences

Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval

Multi-Sensor Track-to-Track Association and Spatial Registration Algorithm Under Incomplete Measurements

Algebraic Neural Networks: Stability to Deformations

Dilated Arrays: A Family of Sparse Arrays With Increased Uniform Degrees of Freedom and Reduced Mutual Coupling on a Moving Platform

A Neural Network Method for Nonconvex Optimization and its Application on Parameter Retrieval

Heterogeneous Multi-Sensor Fusion With Random Finite Set Multi-Object Densities

Bias Reduced Semidefinite Relaxation Method for 3-D Rigid Body Localization Using AOA

Co-Located MIMO Radar Target Detection in Cluttered and Noisy Environment Based on 2D Block Sparse Recovery

Towards Lower Precision Adaptive Filters: Facts From Backward Error Analysis of RLS

Structured LISTA for Multidimensional Harmonic Retrieval

A Novel Regularized Model for Third-Order Tensor Completion

Binary Discrete Fourier Transform and Its Inversion

FlexPD: A Flexible Framework of First-Order Primal-Dual Algorithms for Distributed Optimization

Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation

Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions

Energy Efficiency Optimization in Radar-Communication Spectrum Sharing

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis

Discrete Signal Processing on Meet/Join Lattices

Time-Frequency Phase Retrieval for Audio—The Effect of Transform Parameters

A Momentum-Guided Frank-Wolfe Algorithm

Group Invariant Dictionary Learning

Trade-Offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition

End-to-End Transmission Analysis of Simultaneous Wireless Information and Power Transfer Using Resonant Beam

Distributed Adaptive Trace Ratio Optimization in Wireless Sensor Networks

Signal Detection in Distributed MIMO Radar With Non-Orthogonal Waveforms and Sync Errors

Robust Low-Rank Tensor Completion Based on Tensor Ring Rank via $\ell _{p,\epsilon }$-Norm

Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising

Deep Networks for Direction-of-Arrival Estimation in Low SNR

Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses Using Kullback-Leibler Information Criterion-Part I: Detector Designs

Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses Using Kullback-Leibler Information Criterion-Part II: Applications

Safe Linear Thompson Sampling With Side Information

Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading

Exploiting Sparsity of Ranging Biases for NLOS Mitigation

Over-the-Air Federated Learning From Heterogeneous Data

Tracking of Extended Object Using Random Matrix With Non-Uniformly Distributed Measurements

On Unlimited Sampling and Reconstruction

Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation

Interpretable Generative Adversarial Networks With Exponential Function

Convergence Properties of Message-Passing Algorithm for Distributed Convex Optimisation With Scaled Diagonal Dominance

Fixed Point Strategies in Data Science

Distributed Inference With Sparse and Quantized Communication

Quantization Games on Social Networks and Language Evolution

Blind Inference of Eigenvector Centrality Rankings

Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis

Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison

Heterogeneity Aware Two-Stage Group Testing

Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval

Polar Coded Diversity on Block Fading Channels Via Polar Spectrum

Robust Spectrum Sensing Via Probability Measure Transform

Fast and Accurate Amplitude Demodulation of Wideband Signals

Efficient Direct Target Localization for Distributed MIMO Radar With Expectation Propagation and Belief Propagation

Efficient Sparse Coding Using Hierarchical Riemannian Pursuit

A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network

Generic FRI-Based DOA Estimation: A Model-Fitting Method

Recovering Joint Probability of Discrete Random Variables From Pairwise Marginals

Cramér-Rao Bound Analysis of Underdetermined Wideband DOA Estimation Under the Subband Model via Frequency Decomposition

Online Joint State Inference and Learning of Partially Unknown State-Space Models

Matched Manifold Detection for Group-Invariant Registration and Classification of Images

Practical Precoding via Asynchronous Stochastic Successive Convex Approximation

On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps

Joint TOA and DOA Estimation With CFO Compensation Using Large-Scale Array

Data Aided MSE-Optimal Time Varying Channel Tracking in Massive MIMO Systems

Application of the Free Energy Principle to Estimation and Control

Policy Gradient Importance Sampling for Bayesian Inference

A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals

Linear MIMO Precoders With Finite Alphabet Inputs via Stochastic Optimization and Deep Neural Networks (DNNs)

A Penalty Alternating Direction Method of Multipliers for Convex Composite Optimization Over Decentralized Networks

Enhanced Time-Frequency Representation and Mode Decomposition

Multi-Sensor Network Information for Linear-Gaussian Multi-Target Tracking Systems

Target Detection Within Nonhomogeneous Clutter Via Total Bregman Divergence-Based Matrix Information Geometry Detectors

Eavesdropper and Jammer Selection in Wireless Source Localization Networks

Maximum a Posteriori Probability (MAP) Joint Fine Frequency Offset and Channel Estimation for MIMO Systems With Channels of Arbitrary Correlation

A Novel Framework for Combining Multiple Radar Waveforms Using Time Compression Overlap-Add

Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions

Support Recovery for Sparse Multidimensional Phase Retrieval

Learning Two-Layer ReLU Networks Is Nearly as Easy as Learning Linear Classifiers on Separable Data

Stochastic Graph Neural Networks

Direction of Arrival Estimation of Wideband Sources Using Sparse Linear Arrays

On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach

Spatial-Slepian Transform on the Sphere

Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems

Time Domain Sampling of the Radial Functions in Spherical Harmonics Expansions

Robust Sensor Placement for Signal Extraction

Multi-Layer Bilinear Generalized Approximate Message Passing

Performance Analysis of the Generalized Likelihood Ratio Test in General Phased Array Radar Configuration

Correction to “Information Geometric Approach to Multisensor Estimation Fusion”

Low-Complexity Scaling Methodsfor DCT-II Approximations

A New Method of Integer Parameter Estimation in Linear Models With Applications to GNSS High Precision Positioning

Generalized Non-Redundant Sparse Array Designs

Channel Estimation and Pilot Symbol Optimization Based on Intrinsic Interference Utilization for OQAM/FBMC Systems

Distributed Algorithms for Array Signal Processing

Differentiable Bi-Sparse Multi-View Co-Clustering

Communication-Adaptive Stochastic Gradient Methods for Distributed Learning

Joint Power Allocation and Distributed Equalization Design for OFDM-Based Filter-and-Forward Two-Way Multi-Relay Networks

PremiUm-CNN: Propagating Uncertainty Towards Robust Convolutional Neural Networks

Widely-Linear Processing for the Uplink of the Massive MIMO With IQ Imbalance: Channel Estimation and Data Detection

Continuous-Discrete Multiple Target Tracking With Out-of-Sequence Measurements

Ordering for Communication-Efficient Quickest Change Detection in a Decomposable Graphical Model

Robust Two-Sample Location Testing via Probability Measure Transform

Deep Scattering Network With Fractional Wavelet Transform

Corrections to “Sparse-Group Lasso for Graph Learning From Multi-Attribute Data”

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning

Generalized Multiview Shared Subspace Learning Using View Bootstrapping

Performance Analysis of Joint Range-Velocity Estimator With 2D-MUSIC in OFDM Radar

Phase Transitions in Frequency Agile Radar Using Compressed Sensing

HePPCAT: Probabilistic PCA for Data With Heteroscedastic Noise

Fair Principal Component Analysis and Filter Design

Resource Allocation for Multitarget Tracking and Data Reduction in Radar Network With Sensor Location Uncertainty

Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems

Temporal Parallelization of Inference in Hidden Markov Models

Editorial A (Belated) Message From the New EiC

A Robust Wavenumber-Domain Superdirective Beamforming for Endfire Arrays

On the Convergence Behavior of Partitioned-Block Frequency-Domain Adaptive Filters

Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder

Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization

A Robust Decision Directed Algorithm for Blind Equalization Under $\alpha$-Stable Noise

Graphon Signal Processing

Real-Valued Sparse Bayesian Learning for DOA Estimation With Arbitrary Linear Arrays

Unambiguous Delay-Doppler Recovery From Random Phase Coded Pulses

Complexity Blowup in Simulating Analog Linear Time-Invariant Systems on Digital Computers

Adaptive Savitzky-Golay Filtering in Non-Gaussian Noise

Constructing Fast Approximate Eigenspaces With Application to the Fast Graph Fourier Transforms

Balanced Neural Architecture Search and Its Application in Specific Emitter Identification

Robust Beamforming Design for Magnetic MIMO Wireless Power Transfer Systems

Manifold Optimization for High-Accuracy Spatial Location Estimation Using Ultrasound Waves

Decomposing Non-Stationary Signals With Time-Varying Wave-Shape Functions

Optimal Data Detection and Signal Estimation in Systems With Input Noise

Blind Reconstruction of BCH and RS Codes Using Single-Error Correction

Maximum Likelihood Optimization of Adaptive Asynchronous Interference Mitigation Beamformer

A Novel Low-Complexity GFDM Relay Communication System: Relay Selection and Filter-and-Forward

Distributed Implementation of the Centralized Generalized Labeled Multi-Bernoulli Filter

Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets Via Generative Models

Mixed Membership Graph Clustering via Systematic Edge Query

Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error

A Generalized Walsh System and Its Fast Algorithm

A Novel Framework for the Analysis and Design of Heterogeneous Federated Learning

Kalman Filtering Based Combining for MIMO Systems With Hybrid ARQ

Fast Numerical Computation of Two-Dimensional Non-Separable Linear Canonical Transform Based on Matrix Decomposition

Clustering by Orthogonal NMF Model and Non-Convex Penalty Optimization

Time Undersampled Acquisition for Multidimensional Sparse Signals With Application to Magnetic Resonance Spectroscopic Imaging

Exploring the Geometry of One-Dimensional Signals

Hermite Expansion Model and LMMSE Analysis for Low-Resolution Quantized MIMO Detection

Distributed Multi-Object Tracking Under Limited Field of View Sensors

Augmented Covariance Matrix Reconstruction for DOA Estimation Using Difference Coarray

MIMO Radar Waveform Design for Multipath Exploitation

Misspecified Cramer–Rao Bounds for Blind Channel Estimation Under Channel Order Misspecification

Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

Task-Based Analog-to-Digital Converters

Frequency-Domain Diffusion Adaptation Over Networks

Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability

Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network

Bayesian Channel Estimation in Multi-User Massive MIMO With Extremely Large Antenna Array

Linear Regression With Distributed Learning: A Generalization Error Perspective

Distributed and Quantized Online Multi-Kernel Learning

Marginal Likelihood Maximization Based Fast Array Manifold Matrix Learning for Direction of Arrival Estimation

Computable Time Concentration of Bandlimited Signals and Systems

Diffusion SLAM: Localizing Diffusion Sources From Samples Taken by Location-Unaware Mobile Sensors

On the Adversarial Robustness of LASSO Based Feature Selection

Dual Consensus Proximal Algorithm for Multi-Agent Sharing Problems

Optimal Feature Manipulation Attacks Against Linear Regression

Finite-Alphabet Symbol-Level Multiuser Precoding for Massive MU-MIMO Downlink

Tracking Cells and Their Lineages Via Labeled Random Finite Sets

Information-Theoretic Interactive Sensing and Inference for Autonomous Systems

Dimension Reduction of Polynomial Regression Models for the Estimation of Granger Causality in High-Dimensional Time Series

LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers

Product Graph Learning From Multi-Domain Data With Sparsity and Rank Constraints

Coupled Regularized Sample Covariance Matrix Estimator for Multiple Classes

Reconfigurable Intelligent Surface for Massive Connectivity: Joint Activity Detection and Channel Estimation

Multi-Group Multicast Beamforming by Superiorized Projections Onto Convex Sets

Near-Field Tracking With Large Antenna Arrays: Fundamental Limits and Practical Algorithms

Over-the-Air Computation in Correlated Channels

Multi-Sensor Spatial Association Using Joint Range-Doppler Features

Phase Retrieval Using Expectation Consistent Signal Recovery Algorithm Based on Hypernetwork

Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems

Adaptive Frequency-Domain Normalized Implementations of Widely-Linear Complex-Valued Filter

Efficient Node Selection Strategy for Sampling Bandlimited Signals on Graphs

Tensor-Based Near-Field Localization Using Massive Antenna Arrays

A Two Stage Generalized Block Orthogonal Matching Pursuit (TSGBOMP) Algorithm

Joint Nonlinear Sparse Error Correction for Robust State Estimation

Multi-Sensor Filtering Fusion With Parametric Uncertainties and Measurement Censoring: Monotonicity and Boundedness

Radar and Communication Spectral Coexistence in Range-Dependent Interference

Time of Arrival and Angle of Arrival Estimation Algorithm in Dense Multipath

Structured Covariance Matrix Estimation With Missing-(Complex) Data for Radar Applications via Expectation-Maximization

Enhanced DOA Estimation Exploiting Multi-Frequency Sparse Array

Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning

Robust State Estimation for Linear Systems Under Distributional Uncertainty

Gaussian Variational State Estimation for Nonlinear State-Space Models

Space-Time Coding Technique for Coherent Frequency Diverse Array

Set Squeezing Procedure for Quadratically Perturbed Chance-Constrained Programming

A Unified Framework for Multistatic Passive Radar Target Detection Under Uncalibrated Receivers

The Wasserstein-Fourier Distance for Stationary Time Series

Eigenvalue Decomposition of a Parahermitian Matrix: Extraction of Analytic Eigenvalues

Matrix-Monotonic Optimization $-$ Part I: Single-Variable Optimization

Impact of Covariance Mismatched Training Samples on Constant False Alarm Rate Detectors

Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling

Binary MIMO Detection via Homotopy Optimization and Its Deep Adaptation

Cooperative Field Prediction and Smoothing via Covariance Intersection

Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery

Comments on “Energy-Efficient Beamforming Design for MU-MISO Mixed RF/VLC Heterogeneous Wireless Networks”

Template Adaptation of 2D Quasi-Periodic Data Using a Soft-Assign Localized Correspondence Matrix

Multiuser Full-Duplex Two-Way Communications via Intelligent Reflecting Surface

Probability of Resolution of Partially Relaxed Deterministic Maximum Likelihood: An Asymptotic Approach

Beyond Procrustes: Balancing-Free Gradient Descent for Asymmetric Low-Rank Matrix Sensing

Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter

Solving High-Order Portfolios via Successive Convex Approximation Algorithms

Measurement Bounds for Compressed Sensing in Sensor Networks With Missing Data

Community Detection and Matrix Completion With Social and Item Similarity Graphs

Dynamic Online Learning via Frank-Wolfe Algorithm

Polynomial GSVD Beamforming for Two-User Frequency-Selective MIMO Channels

A Novel Wave Decomposition for Oscillatory Signals

Detection of the Number of Signals by Signal Subspace Matching

Decentralized Blockchain-Based Dynamic Spectrum Acquisition for Wireless Downlink Communications

Compressed Gradient Methods With Hessian-Aided Error Compensation

On Accurate Source Enumeration: A New Bayesian Information Criterion

Allpass Feedback Delay Networks

Discrete Signal Processing with Set Functions

Quickest Change Detection of Time Inconsistent Anticipatory Agents. Human-Sensor and Cyber-Physical Systems

Learning Strategies for Radar Clutter Classification

Minimum-Degree Distributed Graph Filter Design

Supervised Learning and Canonical Decomposition of Multivariate Functions

The Restless Hidden Markov Bandit With Linear Rewards and Side Information

Shallow Underwater Acoustic Massive MIMO Communications

PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data

Sequential Inference Methods for Non-Homogeneous Poisson Processes With State-Space Prior

Non-Bayesian Estimation Framework for Signal Recovery on Graphs

A Riemannian Framework for Low-Rank Structured Elliptical Models

Multiple Importance Sampling for Symbol Error Rate Estimation of Maximum-Likelihood Detectors in MIMO Channels

Blind Localization of Early Room Reflections Using Phase Aligned Spatial Correlation

High-Speed User-Centric Beampattern Synthesis via Frequency Diverse Array

Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate

Distributed Learning in Non-Convex Environments— Part II: Polynomial Escape From Saddle-Points

Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization

Uplink Sensing in Perceptive Mobile Networks With Asynchronous Transceivers

Outage-Constrained Robust Beamforming for Intelligent Reflecting Surface Aided Wireless Communication

Bilinear Channel Estimation for MIMO OFDM: Lower Bounds and Training Sequence Optimization

Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost

Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer

Decentralized Learning With Lazy and Approximate Dual Gradients

Randomized Stepped Frequency Radars Exploiting Block Sparsity of Extended Targets: A Theoretical Analysis

Phase Retrieval for Partially Coherent Observations

Energy Efficiency and Spectral Efficiency Tradeoff in RIS-Aided Multiuser MIMO Uplink Transmission

Digraph Signal Processing With Generalized Boundary Conditions

Exploiting Relevance for Online Decision-Making in High-Dimensions

A Multi-Taper S-Transform Method for Spectral Estimation of Stationary Processes

The JM-Filter to Detect Specific Frequency in Monitored Signal

Grade Prediction From Multi-Valued Click-Stream Traces via Bayesian-Regularized Deep Neural Networks

Adaptive Radar Detection in Low-Rank Heterogeneous Clutter via Invariance Theory

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA

Optimal Restricted Isometry Condition of Normalized Sampling Matrices for Exact Sparse Recovery With Orthogonal Least Squares

A Depth-First Iterative Algorithm for the Conjugate Pair Fast Fourier Transform

Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel

Spectrally-Agile Waveform Design for Wideband MIMO Radar Transmit Beampattern Synthesis via Majorization-ADMM

Cyclostationary Processes With Evolving Periods and Amplitudes

An Efficient Power Allocation Strategy for Maneuvering Target Tracking in Cognitive MIMO Radar

Power Allocation for Coexisting Multicarrier Radar and Communication Systems in Cluttered Environments

A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization

Filtering in Pairwise Markov Model With Student's t Non-Stationary Noise With Application to Target Tracking

Target Localization Geometry Gain in Distributed MIMO Radar

An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis

Corrections to “Set Squeezing Procedure for Quadratically Perturbed Chance-Constrained Programming”

Regularized Local Basis Function Approach to Identification of Nonstationary Processes

Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution

Sparse Symmetric Linear Arrays With Low Redundancy and a Contiguous Sum Co-Array

Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks

Distributed Nonlinear Polynomial Graph Filter and Its Output Graph Spectrum: Filter Analysis and Design

Graphon Filters: Graph Signal Processing in the Limit

Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering

Sparse-Group Lasso for Graph Learning From Multi-Attribute Data

Quantizer Design to Exploit Common Information in Layered and Scalable Coding

Band-Stop Smoothing Filter Design

Reconstructing Point Sets From Distance Distributions

Globally Convergent Gradient Projection Type Algorithms for a Class of Robust Hypothesis Testings

An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization

General Cauchy Conjugate Gradient Algorithms Based on Multiple Random Fourier Features

The Interference Channel Revisited: Aligning Interference by Adjusting Antenna Separation

Efficient Sensor Placement for Signal Reconstruction Based on Recursive Methods

Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement

Random Matrix Based Extended Target Tracking With Orientation: A New Model and Inference

Constrained Radar Waveform Design for Range Profiling

A Stochastic Model for Characterizing Fluctuations in Chemical Sensing

Frequency Domain Analysis and Equalization for Molecular Communication

Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks

S$^2$H Domain Processing for Acoustic Source Localization and Beamforming Using Microphone Array on Spherical Sector

Tensor RNN With Bayesian Nonparametric Mixture for Radar HRRP Modeling and Target Recognition

Online Deep Neural Networks for MmWave Massive MIMO Channel Estimation With Arbitrary Array Geometry

Optimal Sampling of a Bandlimited Noisy Multiple Output Channel

Fast Signal Recovery From Quadratic Measurements

Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

Robust Subspace Tracking With Missing Data and Outliers: Novel Algorithm With Convergence Guarantee

SVM-Based Channel Estimation and Data Detection for One-Bit Massive MIMO Systems

Construction of Golay Complementary Matrices and Its Applications to MIMO Omnidirectional Transmission

Joint Dimension Assignment and Compression for Deterministic Parameter Vector Estimation in Distributed Multisensor Networks

Sparse Phase Retrieval Via PhaseLiftOff

Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays

Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers

Spectrally Sparse Signal Recovery via Hankel Matrix Completion With Prior Information

Fixed-Point Maximum Total Complex Correntropy Algorithm for Adaptive Filter

Polar-Coded Spatial Modulation

Projection-Based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices

Null Space Component Analysis of One-Shot Single-Channel Source Separation Problem

Minimax Robust Detection: Classic Results and Recent Advances

Cramér-Rao Bound for Estimation After Model Selection and Its Application to Sparse Vector Estimation

Adaptive Sparse Array Beamformer Design by Regularized Complementary Antenna Switching

SR2CNN: Zero-Shot Learning for Signal Recognition

Bias-Compensated Sign Algorithm for Noisy Inputs and Its Step-Size Optimization

Incoherence is Sufficient for Statistical RIP of Unit Norm Tight Frames: Constructions and Properties

mmWave Channel Estimation via Compressive Covariance Estimation: Role of Sparsity and Intra-Vector Correlation

Memory-Constrained No-Regret Learning in Adversarial Multi-Armed Bandits

Directionally Weighted Wave Field Estimation Exploiting Prior Information on Source Direction

Low-Rank Matrix Recovery With Scaled Subgradient Methods: Fast and Robust Convergence Without the Condition Number

Target Capacity Based Resource Optimization for Multiple Target Tracking in Radar Network

Distributed Design of Robust Kalman Filters Over Corrupted Channels

Online Generalized Eigenvectors Extraction Via a Fixed-Point Approach

Generalized Canonical Correlation Analysis: A Subspace Intersection Approach

A Smart Pilot Assignment in Multi-Cell Massive MIMO Systems Using Virtual Modeling of Assigning Cost

Robust Energy-Efficient Resource Management, SIC Ordering, and Beamforming Design for MC MISO-NOMA Enabled 6G

Dynamic System Fault Diagnosis Under Sparseness Assumption

Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization

Localization With One-Bit Passive Radars in Narrowband Internet-of-Things Using Multivariate Polynomial Optimization

An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning

Time- and Frequency-Interleaving: Distinctions and Connections

Enhanced Propriety-Based I/Q Imbalance Compensation in LTE/NR Receivers

Graph Signal Processing Meets Blind Source Separation

A Poisson Multi-Bernoulli Mixture Filter for Coexisting Point and Extended Targets

Distributed Convex Optimization With State-Dependent (Social) Interactions and Time-Varying Topologies

Large-Dimensional Characterization of Robust Linear Discriminant Analysis

Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method

Optimal Sequential Detection of Signals With Unknown Appearance and Disappearance Points in Time

Deep Learning Enabled Semantic Communication Systems

On the Behavior of MEMD in Presence of Multivariate Fractional Gaussian Noise

A Joint TOA and DOA Acquisition and Tracking Approach for Positioning With LTE Signals

Throughput Maximization for Intelligent Reflecting Surface Aided MIMO WPCNs With Different DL/UL Reflection Patterns

Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid

A Linear Algorithm for Multi-Target Tracking in the Context of Possibility Theory

Joint Radar-Communication Transmission: A Generalized Pareto Optimization Framework

Simultaneous Mobile Information and Power Transfer by Resonant Beam

Signals Featuring Harmonics With Random Frequencies – Spectral, Distributional and Ergodic Properties

Radar Waveform Design Under Communication Sum Capacity Constraint

Optimal Stealthy Linear-Attack Schedules on Remote State Estimation

ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar

Safety Analysis of Long-Range and High-Power Wireless Power Transfer Using Resonant Beam

Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM

Novel Codebook Design for Channel State Information Quantization in MIMO Rician Fading Channels With Limited Feedback

Decision Learning and Adaptation Over Multi-Task Networks

Third-Order Statistics Reconstruction From Compressive Measurements

Optimal Fractional Fourier Filtering for Graph Signals

Nonuniform Sampling Rate Conversion:An Efficient Approach

Epigraphical Relaxation for Minimizing Layered Mixed Norms

Space-Time Adaptive Detection at Low Sample Support

Limited Feedforward Waveform Design for OFDM Dual-Functional Radar-Communications

An Efficient Detector for Massive MIMO Based on Improved Matrix Partition

Designing Unimodular Sequences With Optimized Auto/Cross-Correlation Properties via Consensus-ADMM/PDMM Approaches

Two-Stage Stochastic Optimization Via Primal-Dual Decomposition and Deep Unrolling

Unified IRS-Aided MIMO Transceiver Designs via Majorization Theory

Hybrid Sparse Expansion and Separable Hybrid Prony Method

Distributed Sequential Hypothesis Testing With Byzantine Sensors

Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization

A Machine Learning Approach to DoA Estimation and Model Order Selection for Antenna Arrays With Subarray Sampling

Target Localization and Clock Refinement in Distributed MIMO Radar Systems With Time Synchronization Errors

On the Tracking Performance of Adaptive Filters and Their Combinations

Reversible Autoencoder: A CNN-Based Nonlinear Lifting Scheme for Image Reconstruction

Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search

Channel Covariance Conversion and Modelling Using Infinite Dimensional Hilbert Spaces

Joint Estimation of Velocity, Angle-of-Arrival and Range (JEVAR) Using a Conjugate Pair of Zadoff-Chu Sequences

Unitary Approximate Message Passing for Sparse Bayesian Learning

MIMO Modeling by Learning Explicitly the Projection Space: The Maximum Correlation Ratio Cost Function

FedPD: A Federated Learning Framework With Adaptivity to Non-IID Data

Mismatched Data Detection in Massive MU-MIMO

Exploiting Information About the Structure of Signals of Opportunity for Passive Radar Performance Increase

Synthesis of Linear-Phase FIR Filters With a Complex Exponential Impulse Response

MVDR Beamformer Design by Imposing Unit Circle Roots Constraints for Uniform Linear Arrays

Two-Stage Bayesian Sequential Change Diagnosis

Resource Allocation and Dithering of Bayesian Parameter Estimation Using Mixed-Resolution Data

On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays

Federated Learning With Spiking Neural Networks

Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity

Frequency Diverse Array Signal Optimization: From Non-Cognitive to Cognitive Radar

Decision Making in Star Networks With Incorrect Beliefs

A Fast Algorithm for Fractional QCQP and Applications to Secure Beamforming in Cognitive Nonorthogonal Multiple Access Networks

Tensor-Based Joint Channel Estimation and Symbol Detection for Time-Varying mmWave Massive MIMO Systems

BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization

Scalable Detection and Tracking of Geometric Extended Objects

Gradual Federated Learning With Simulated Annealing

Signal Source Distribution Approximation to Speedup Scalar Quantizer Design

Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising

Discrete Time $q$-Lag Maximum Likelihood FIR Smoothing and Iterative Recursive Algorithm

A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

Deep Learning Model-Aware Regulatization With Applications to Inverse Problems

Octonion Short-Time Fourier Transform for Time-Frequency Representation and Its Applications

Comments on “Localization of Near-Field Sources Based on Linear Prediction and Oblique Projection Operator”

Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling

A Quasi-Coherent Detection Framework for Mobile Multi-Agent Networks

ULA Fitting for Sparse Array Design

Adaptive Filters With Robust Augmented Space Linear Model: A Weighted $k$-NN Method

Signal Processing Methods to Enhance the Energy Efficiency of In-Memory Computing Architectures

Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning

Analysis of Propagation Delay Effects on Bearings-Only Fusion of Heterogeneous Sensors

Frequency Estimation for Zero-Padded Signal Based on the Amplitude Ratio of Two DFT Samples

Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access

Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering

List of Reviewers

2021 Index IEEE Transactions on Signal Processing Vol. 69