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 2020-11-01 to 2024-11-01.)
ArticleCitations
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing636
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications227
Snapshot Compressive Imaging: Theory, Algorithms, and Applications209
Self-Supervised Representation Learning: Introduction, advances, and challenges173
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception130
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques119
Sound Event Detection: A tutorial110
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks107
Graph Signal Processing for Machine Learning: A Review and New Perspectives102
Sampling Signals on Graphs: From Theory to Applications96
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies85
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]80
Personalized Education in the Artificial Intelligence Era: What to Expect Next78
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows77
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling71
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices70
Federated Learning: A signal processing perspective66
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring64
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems64
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]62
Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications61
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey52
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications51
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications51
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks51
Seventy Years of Radar and Communications: The road from separation to integration49
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion47
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding44
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective44
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology43
Radio Map Estimation: A data-driven approach to spectrum cartography42
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective41
Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques39
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison35
Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing35
Neural Target Speech Extraction: An overview35
Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods35
Deep Learning in Neuroimaging: Promises and challenges34
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications34
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]34
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data33
Physics-Inspired Compressive Sensing: Beyond deep unrolling32
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals31
Physics-Driven Synthetic Data Learning for Biomedical Magnetic Resonance: The imaging physics-based data synthesis paradigm for artificial intelligence30
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview30
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial28
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging27
The Cramér–Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]26
Twenty-Five Years of Sensor Array and Multichannel Signal Processing: A review of progress to date and potential research directions26
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools26
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling26
Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective25
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing25
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities25
Graph Signal Processing: History, development, impact, and outlook25
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering24
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities24
Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods23
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications21
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness20
Deep Learning for Mobile Mental Health: Challenges and recent advances20
Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes]19
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students18
Topological Signal Processing: Making Sense of Data Building on Multiway Relations17
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance17
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey17
Deep Optical Coding Design in Computational Imaging: A data-driven framework17
Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion16
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]16
Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation16
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities16
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges16
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries16
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications15
Teaching Differently: The Digital Signal Processing of Multimedia Content Through the Use of Liberal Arts15
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts14
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging14
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results13
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]13
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview13
The Hitchhiker’s Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques13
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods13
Improvements to the Sliding Discrete Fourier Transform Algorithm [Tips & Tricks]12
Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning12
2 and 1 Trend Filtering: A Kalman Filter Approach [Lecture Notes]11
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]11
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement11
Quaternions in Signal and Image Processing: A comprehensive and objective overview11
Sketching Data Sets for Large-Scale Learning: Keeping only what you need11
Unfolding-Aided Bootstrapped Phase Retrieval in Optical Imaging: Explainable AI reveals new imaging frontiers10
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]10
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews10
Proper Definition and Handling of Dirac Delta Functions [Lecture Notes]9
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises8
Interpretability, Reproducibility, and Replicability [From the Guest Editors]8
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches8
Signal Processing on Signed Graphs: Fundamentals and Potentials8
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets8
Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years8
A Survey of Artificial Intelligence in Fashion8
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions7
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications7
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches7
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]7
What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving7
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]7
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving7
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective7
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains7
Networked Signal and Information Processing: Learning by multiagent systems6
Deep Learning for Object Detection in Materials-Science Images: A tutorial6
Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks6
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals6
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education6
Configuring an Intelligent Reflecting Surface for Wireless Communications: Highlights from the 2021 IEEE Signal Processing Cup student competition [SP Competitions]6
Information Forensics and Security: A quarter-century-long journey6
Physics-Guided Terahertz Computational Imaging: A tutorial on state-of-the-art techniques6
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]5
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]5
Intelligent Signal Processing for Affective Computing [From the Guest Editors]5
High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine Learning: Current progress and future directions5
Toward Enabling Next-Generation Societal Virtual Reality Applications for Virtual Human Teleportation: A novel future system concept and computation-communication-signal representation trade-offs5
Twenty-Five Years of Signal Processing Advances for Multiantenna Communications: From theory to mainstream technology5
Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions5
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations4
Signal Processing for Brain–Computer Interfaces: A review and current perspectives4
Reinforcement Learning in Reproducing Kernel Hilbert Spaces4
Synthesis of Fast-Decaying Window Functions [Lecture Notes]4
Deep Learning Meets Sparse Regularization: A signal processing perspective4
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices4
The Monte-Carlo Sampling Approach to Model Selection: A Primer [Lecture Notes]4
Demystifying Lie Group Methods for Signal Processing: A Tutorial3
Teaching Signal Processing Through Frequent and Diverse Design: A Pedagogical Approach3
Alternative Data Paths for the Cascaded Integrator-Comb Decimator [Tips & Tricks]3
The Foundations of Computational Imaging: A signal processing perspective3
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works3
Affects in Groups: A review on automated affect processing and estimation in groups3
Creativity First, Science Follows: Lessons in Digital Signal Processing Education3
In Situ Transmission Electron Microscopy: Signal processing challenges and examples3
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation3
Simple Multiple Precision Algorithms for Exponential Functions [Tips & Tricks]3
Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions3
Lensless X-Ray Nanoimaging: Revolutions and opportunities3
The SONICOM Project: Artificial Intelligence-Driven Immersive Audio, From Personalization to Modeling [Applications Corner]3
A Trick for Designing Composite Filters With Sharp Transition Bands and Highly Suppressed Stopbands [Tips & Tricks]3
Widely Linear Adaptive Filtering Based on Clifford Geometric Algebra: A unified framework [Hypercomplex Signal and Image Processing]2
Signing Off as Editor-in-Chief [From the Editor]2
Corrections and Comments on “An Efficient Algorithm for Maneuvering Target Tracking” [Corrections and Comments]2
Bachelor of Science in Electrical Engineering Online: A Journey of Challenges and Triumphs2
Historical Audio Search and Preservation: Finding Waldo Within the Fearless Steps Apollo 11 Naturalistic Audio Corpus [Applications Corner]2
Scientific Integrity: A Duty for Researchers [From the Editor]2
The Polyphase Prony Method [Tips & Tricks]2
Simplifying Zero Rotations in Cascaded Integrator-Comb Decimators [Tips & Tricks]2
Empowering the Growth of Signal Processing: The evolution of the IEEE Signal Processing Society2
IEEE Signal Processing Society PROGRESS: Support for Underrepresented Talent in the Field of Signal Processing [Conference Highlights]2
SigPrep: Open Source Web-Based Prework for Signals and Systems [SP Education]2
Reflections After 50-Plus Years in the Classroom [Reflections]2
Mathworks2
Automatic Medical Image Diagnosis: Highlights from the 2021 IEEE 5-Minute Video Clip Contest [SP Competitions]2
Fast and Accurate Linear Fitting for an Incompletely Sampled Gaussian Function With a Long Tail [Tips & Tricks]2
Simplifying Single-Bin Discrete Fourier Transform Computations [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
Audio-Based Musical Version Identification: Elements and challenges2
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]2
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks]2
IEEE Signal Processing Society Flagship Conferences Over the Past 10 Years2
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
Teaching Digital Signal Processing by Partial Flipping, Active Learning, and Visualization: Keeping Students Engaged With Blended Teaching2
The Constant-Q Harmonic Coefficients: A timbre feature designed for music signals [Lecture Notes]2
Super-Resolving a Frequency Band [Tips & Tricks]1
Twenty-Five Years of Evolution in Speech and Language Processing1
IEEE Open Journal of Signal Processing1
Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes]1
Affects and Emotions in IEEE Signal Processing Magazine [From the Editor]1
Multidisciplinary Project-Based Learning: Improving Student Motivation for Learning Signal Processing1
SP 75th Anniversary1
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
Holistic Processing of Color Images Using Novel Quaternion-Valued Wavelets on the Plane: A promising transformative tool [Hypercomplex Signal and Image Processing]1
Data Science Education: The Signal Processing Perspective [SP Education]1
Hypercomplex Techniques in Signal and Image Processing Using Network Graph Theory: Identifying core research directions [Hypercomplex Signal and Image Processing]1
Computational Topology for Biomedical Images and Data: Theory and Applications [Book Review]1
Artistic Text Style Transfer: An overview of state-of-the-art methods and datasets [SP Forum]1
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]1
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
The Submerged Part of the AI-Ceberg [Perspectives]1
The Discrete Cosine Transform and Its Impact on Visual Compression: Fifty Years From Its Invention [Perspectives]1
Privacy-Preserving in-Bed Human Pose Estimation: Highlights from the IEEE Video and Image Processing Cup 2021 Student Competition [SP Competitions]1
Introducing SPM's New Team of Area Editors: Part 1 [From the Editor]1
Superresolution Image Reconstruction: Selective milestones and open problems1
IEEE Signal Processing Society 75th Anniversary During ICASSP 2023: Remembering the past, engaging with the present, and building the future [From the Editor]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
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee1
The IEEE Signal Processing Society Needs Your Talent—Become an SPS Volunteer [President’s Message]1
Fourier Analysis: A new computing approach [Lecture Notes]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
Signal Processing in Our Digital Era [President’s Message]1
The Markov Random Field in Materials Applications: A synoptic view for signal processing and materials readers1
Understanding Vector-Valued Neural Networks and Their Relationship With Real and Hypercomplex-Valued Neural Networks: Incorporating intercorrelation between features into neural networks [Hypercomplex1
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]1
Synthetic Speech Attribution: Highlights From the IEEE Signal Processing Cup 2022 Student Competition [SP Competitions]1
The Applied Signal Processing Systems Technical Committee [In the Spotlight]1
Multimedia Signal Processing: A history of the Multimedia Signal Processing Technical Committee1
Statistical Principles of Time Reversal [Perspectives]1
Innovation Starts With Education [From the Guest Editors]1
Split-Quaternions for Perceptual White Balance: A quantum information-based chromatic adaptation transform [Hypercomplex Signal and Image Processing]1
Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation1
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning1
Starting the Ethics Discussion in Our Community [President’s Message]1
Going for Sustainable Conferences [Perspectives]1
A Tutorial on Single-Shot 3D Surface Imaging Techniques [Lecture Notes]1
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2021 Index IEEE Signal Processing Magazine Vol. 380
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Progress in Materials Data Availability and Application: A review0
Quaternion-Based Arithmetic in Quantum Information Processing: A promising approach for efficient color quantum imaging [Hypercomplex Signal and Image Processing]0
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Call for Papers: Special Issue on The Mathematics of Deep Learning0
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Celebrating Technological Breakthroughs and Navigating the Future With Care [From the Editor]0
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Artificial Intelligence, Machine Learning, and Signal Processing: Researchers are using artificial intelligence, machine learning, and signal processing to build powerful three-level platforms to help0
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2021 IEEE Signal Processing Society Awards [Society News]0
Learning From the Hidden Letters [President’s Message]0
Novice to Postgraduate Researcher Perceptions of Threshold Concepts and Capabilities in Signal Processing: Understanding Students' and Researchers' Perspectives0
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]0
Interpreting Volitional Movement Intent From Biological Signals: A Review0
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Implementing Moving Average Filters Using Recursion [Tips & Tricks]0
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In Remembrance of Peter Schultheiss [In Memoriam]0
Call For Papers 75 Anniversary of Signal Processing Society Special Issue0
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]0
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