IEEE Signal Processing Magazine

Papers
(The median citation count of IEEE Signal Processing Magazine is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Federated Learning: Challenges, Methods, and Future Directions2015
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing487
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems278
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges278
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies223
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications157
Snapshot Compressive Imaging: Theory, Algorithms, and Applications155
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception143
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception101
Self-Supervised Representation Learning: Introduction, advances, and challenges97
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques87
Single-Particle Cryo-Electron Microscopy: Mathematical Theory, Computational Challenges, and Opportunities82
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization81
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks80
Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution78
Sampling Signals on Graphs: From Theory to Applications76
Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies71
Graph Signal Processing for Machine Learning: A Review and New Perspectives71
Sound Event Detection: A tutorial70
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence69
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances68
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]65
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling63
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows63
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning56
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]53
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices51
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications51
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies51
Federated Learning: A signal processing perspective50
Optimization for Reinforcement Learning: From a single agent to cooperative agents48
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model48
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring44
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems43
Optimization and Learning With Information Streams: Time-varying algorithms and applications41
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]41
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey40
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion40
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications39
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances37
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding36
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond36
Personalized Education in the Artificial Intelligence Era: What to Expect Next36
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology34
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications32
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks31
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison31
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective31
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective29
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications28
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data28
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications26
The Global Landscape of Neural Networks: An Overview26
An Overview of the MPEG-5 Essential Video Coding Standard [Standards in a Nutshell]25
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing25
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals25
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective25
Deep Learning in Neuroimaging: Promises and challenges23
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing22
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]22
The Cramér–Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]21
Submodularity in Action: From Machine Learning to Signal Processing Applications20
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools19
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent19
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities19
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence19
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities18
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions18
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies18
Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques17
Radio Map Estimation: A data-driven approach to spectrum cartography17
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview17
Deep Learning for Mobile Mental Health: Challenges and recent advances16
Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation16
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students15
Topological Signal Processing: Making Sense of Data Building on Multiway Relations15
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries15
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications14
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities14
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods14
Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms14
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness13
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]13
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering13
Seventy Years of Radar and Communications: The road from separation to integration13
Teaching Differently: The Digital Signal Processing of Multimedia Content Through the Use of Liberal Arts13
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance12
Physics-Inspired Compressive Sensing: Beyond deep unrolling12
Machine Learning From Distributed, Streaming Data [From the Guest Editors]12
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging12
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges12
Deep Optical Coding Design in Computational Imaging: A data-driven framework11
Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods11
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]11
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective11
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]10
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]10
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey10
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial10
The Challenge: From MPEG Intellectual Property Rights Ontologies to Smart Contracts and Blockchains [Standards in a Nutshell]10
The Hitchhiker’s Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques10
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results10
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods10
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling10
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]10
Communications and Sensing: An Opportunity for Automotive Systems [From the Editor]9
Improvements to the Sliding Discrete Fourier Transform Algorithm [Tips & Tricks]9
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews9
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement9
2 and 1 Trend Filtering: A Kalman Filter Approach [Lecture Notes]9
Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches9
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing8
Sketching Data Sets for Large-Scale Learning: Keeping only what you need8
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications8
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview8
Neural Target Speech Extraction: An overview8
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches8
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging8
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts8
An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]7
Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments7
Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions7
Proper Definition and Handling of Dirac Delta Functions [Lecture Notes]7
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion7
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals6
Signal Processing on Signed Graphs: Fundamentals and Potentials6
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains6
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]6
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches6
Interpretability, Reproducibility, and Replicability [From the Guest Editors]6
Graph Signal Processing: History, development, impact, and outlook6
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises6
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency6
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets6
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education5
Intelligent Signal Processing for Affective Computing [From the Guest Editors]5
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization5
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]5
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions5
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging: Explainable AI reveals new imaging frontiers5
A Survey of Artificial Intelligence in Fashion5
Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions5
Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors]5
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices4
What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving4
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving4
Deep Learning for Object Detection in Materials-Science Images: A tutorial4
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]4
Automated Vehicular Safety Systems: Robust Function and Sensor Design4
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective4
Cooperative Wireless Mobile Caching: A Signal Processing Perspective4
Teaching Signal Processing Through Frequent and Diverse Design: A Pedagogical Approach3
Lensless X-Ray Nanoimaging: Revolutions and opportunities3
In Situ Transmission Electron Microscopy: Signal processing challenges and examples3
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]3
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation3
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]3
Simple Multiple Precision Algorithms for Exponential Functions [Tips & Tricks]3
Networked Signal and Information Processing: Learning by multiagent systems3
Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]3
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations3
Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions]3
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning3
Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques3
The Monte-Carlo Sampling Approach to Model Selection: A Primer [Lecture Notes]3
Affects in Groups: A review on automated affect processing and estimation in groups3
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective3
Configuring an Intelligent Reflecting Surface for Wireless Communications: Highlights from the 2021 IEEE Signal Processing Cup student competition [SP Competitions]3
Alternative Data Paths for the Cascaded Integrator-Comb Decimator [Tips & Tricks]3
Reinforcement Learning in Reproducing Kernel Hilbert Spaces3
A Trick for Designing Composite Filters With Sharp Transition Bands and Highly Suppressed Stopbands [Tips & Tricks]3
Synthesis of Fast-Decaying Window Functions [Lecture Notes]3
Closed-Form Output Response of Discrete-Time Linear Time-Invariant Systems Using Intermediate Auxiliary Functions [Lecture Notes]3
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks2
Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions2
Information Forensics and Security: A quarter-century-long journey2
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications2
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]2
Reflections After 50-Plus Years in the Classroom [Reflections]2
Update on the CIC Multistage Decimation Filter With a Minimum Number of Additions per Output Sample (APOS): Can We Still Decrease the Number of APOS? [Tips & Tricks]2
Automatic Medical Image Diagnosis: Highlights from the 2021 IEEE 5-Minute Video Clip Contest [SP Competitions]2
Demystifying Lie Group Methods for Signal Processing: A Tutorial2
Three New Imaging Technologies That Are Worth a Look: Aided by Signal Processing, Advanced Imaging Research Projects Are Opening Doors to New Vistas [Special Reports]2
The Importance of Continuity for Linear Time-Invariant Systems [Lecture Notes]2
Deep Learning Meets Sparse Regularization: A signal processing perspective2
IEEE Signal Processing Society PROGRESS: Support for Underrepresented Talent in the Field of Signal Processing [Conference Highlights]2
Signing Off as Editor-in-Chief [From the Editor]2
Quaternions in Signal and Image Processing: A comprehensive and objective overview2
SigPrep: Open Source Web-Based Prework for Signals and Systems [SP Education]2
Toward Enabling Next-Generation Societal Virtual Reality Applications for Virtual Human Teleportation: A novel future system concept and computation-communication-signal representation trade-offs2
The Polyphase Prony Method [Tips & Tricks]2
Revisiting Research on Signal Processing for Communications in a Pandemic [From the Editor]2
Simplifying Zero Rotations in Cascaded Integrator-Comb Decimators [Tips & Tricks]2
Wearables-Fashion With a Purpose: A New Generation of Wearable Devices Uses Signal Processing to Make Life Easier, Healthier, and More Secure [Special Reports]2
Signal Processing Supports Robotic Innovation: Robots are on a roll as new designs and capabilities open the door to fresh applications [Special Reports]2
Photo and Video Technologies Target New Frontiers: Innovative Imaging Research Enabled by Signal Processing Is Making Cameras More Powerful and Versatile [Special Reports]2
Creativity First, Science Follows: Lessons in Digital Signal Processing Education2
Corrections and Comments on “An Efficient Algorithm for Maneuvering Target Tracking” [Corrections and Comments]2
Mathworks2
Privacy as a Feature for Body-Worn Cameras [In the Spotlight]2
Simplifying Single-Bin Discrete Fourier Transform Computations [Tips & Tricks]2
Teaching Digital Signal Processing by Partial Flipping, Active Learning, and Visualization: Keeping Students Engaged With Blended Teaching2
Top Downloads in IEEE Xplore [Reader's Choice]1
Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation1
Multidisciplinary Project-Based Learning: Improving Student Motivation for Learning Signal Processing1
Scientific Integrity: A Duty for Researchers [From the Editor]1
The Submerged Part of the AI-Ceberg [Perspectives]1
The Constant-Q Harmonic Coefficients: A timbre feature designed for music signals [Lecture Notes]1
Audio-Based Musical Version Identification: Elements and challenges1
Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years1
Unsupervised Anomaly Detection Using Intelligent and Heterogeneous Autonomous Systems: Highlights From the 2020 IEEE Signal Processing Cup Student Competition [SP Competitions]1
Smart Home Technologies Are Saving Money and Lives: Reaching out in new directions, signal processing-supported smart technologies are rapidly changing—and improving—everyday life [Special R1
On the Concept of Frequency in Signal Processing: A Discussion [Perspectives]1
Analysis of the Minimum-Norm Least-Squares Estimator and Its Double-Descent Behavior [Lecture Notes]1
IEEE Signal Processing Society Flagship Conferences Over the Past 10 Years1
Let There Be a Beam: Highlights From the 2020 IEEE Five-Minute Video Clip Contest [SP Competitions]1
Starting the Ethics Discussion in Our Community [President’s Message]1
Introducing SPM's New Team of Area Editors: Part 1 [From the Editor]1
Signal Processing Plays a Key Role in Environmental Research Projects: Keeping People and Ecosystems Alive and Healthy Is Perhaps the 21st Century's Biggest Challenge [Special Reports]1
Signal Processing Advances Undersea Research: Subsea Research Presents Unique Challenges that Signal Processing Is Helping to Address [Special Reports]1
Empowering the Growth of Signal Processing: The evolution of the IEEE Signal Processing Society1
IEEE Signal Processing Society 75th Anniversary During ICASSP 2023: Remembering the past, engaging with the present, and building the future [From the Editor]1
Three Important Audio Projects You'll Want to Hear About: Signal Processing Is Playing an Essential Role in the Development of a New Generation of Audio-Based Applications Targeting Security and Safet1
The IEEE Signal Processing Society Needs Your Talent—Become an SPS Volunteer [President’s Message]1
Signal Processing in Our Digital Era [President’s Message]1
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works1
IEEE Open Journal of Signal Processing1
Fast and Accurate Linear Fitting for an Incompletely Sampled Gaussian Function With a Long Tail [Tips & Tricks]1
The Applied Signal Processing Systems Technical Committee [In the Spotlight]1
Computational Topology for Biomedical Images and Data: Theory and Applications [Book Review]1
Privacy-Preserving in-Bed Human Pose Estimation: Highlights from the IEEE Video and Image Processing Cup 2021 Student Competition [SP Competitions]1
In Memory of A.H. "Steen" Gray Jr. [Reflections]1
High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine Learning: Current progress and future directions1
Innovation Starts With Education [From the Guest Editors]1
With Signal Processing Support, Prosthetics Are Becoming Safer, More Natural, and Increasingly Sensitive: Ongoing Prosthetics Research Is Leading to Systems That Adapt to Users Rather Than Forcing Use1
Artistic Text Style Transfer: An overview of state-of-the-art methods and datasets [SP Forum]1
The Foundations of Computational Imaging: A signal processing perspective1
The Markov Random Field in Materials Applications: A synoptic view for signal processing and materials readers1
Affects and Emotions in IEEE Signal Processing Magazine [From the Editor]1
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IEEE MMSP 20210
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2021 IEEE Signal Processing Society Awards [Society News]0
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In Remembrance of Peter Schultheiss [In Memoriam]0
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]0
Novice to Postgraduate Researcher Perceptions of Threshold Concepts and Capabilities in Signal Processing: Understanding Students' and Researchers' Perspectives0
IEEE Machine Learning for Signal Processing Workshop0
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