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ORCIDIEEE Signal Processing Magazine, Volume 38
Volume 38, Number 1, January 2021
- Christian Jutten:
Starting a Three-Year Journey With IEEE Signal Processing Magazine [From the Editor]. 3-4 - Ahmed H. Tewfik:
Il N'y a ni Mauvaises Herbes ni Mauvais Hommes [President's Message]. 5-6 - H. Vicky Zhao
:
Top Downloads on IEEE Xplore [Reader's Choice]. 8-10 - John Edwards:
Signal Processing Advances the Quest for Better and Safer Medical Imaging: Imaging Breakthroughs Are Saving Lives By Giving Radiologists and Physicians Sharper and Safer Views Inside the Human Body [Special Reports]. 11-14 - Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye:
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]. 20-21 - Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. 22-30 - Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. 31-41 - Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. 42-52 - Mazin Hnewa, Hayder Radha:
Object Detection Under Rainy Conditions for Autonomous Vehicles: A Review of State-of-the-Art and Emerging Techniques. 53-67 - Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, Carl Wellington:
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception. 68-86 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion. 87-96 - Marco Cococcioni, Federico Rossi, Emanuele Ruffaldi, Sergio Saponara, Benoît Dupont de Dinechin:
Novel Arithmetics in Deep Neural Networks Signal Processing for Autonomous Driving: Challenges and Opportunities. 97-110 - Dean Deter, Chieh Wang, Adian Cook, Nolan Kyle Perry:
Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data Sets. 111-121 - Arman Kheirati Roonizi:
An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks]. 122-130 - Ozlem Tugfe Demir, Emil Björnson:
The Bussgang Decomposition of Nonlinear Systems: Basic Theory and MIMO Extensions [Lecture Notes]. 131-136 - John McAllister, Mike Polley, Roozbeh Jafari:
The Applied Signal Processing Systems Technical Committee [In the Spotlight]. 137-139
Volume 38, Number 2, March 2021
- Christian Jutten:
Introducing SPM's New Team of Area Editors: Part 1 [From the Editor]. 3-5 - Ahmed H. Tewfik:
Une Grande Responsabilite est la Suite Inseparable d'un Grand Pouvoir [President's Message]. 6 - H. Vicky Zhao:
Top Downloads on IEEE Xplore [Reader's Choice]. 12-14 - John Edwards:
Wearables-Fashion With a Purpose: A New Generation of Wearable Devices Uses Signal Processing to Make Life Easier, Healthier, and More Secure [Special Reports]. 15-136 - Vishal Monga, Yuelong Li, Yonina C. Eldar:
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. 18-44 - Riccardo Bernardini, Roberto Rinaldo:
Demystifying Lie Group Methods for Signal Processing: A Tutorial. 45-64 - Xin Yuan, David J. Brady, Aggelos K. Katsaggelos:
Snapshot Compressive Imaging: Theory, Algorithms, and Applications. 65-88 - Amir Adler, Mauricio Araya-Polo, Tomaso A. Poggio:
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows. 89-119 - Sharu Theresa Jose, Osvaldo Simeone:
Free Energy Minimization: A Unified Framework for Modeling, Inference, Learning, and Optimization [Lecture Notes]. 120-125 - Alexander Shapiro, Yao Xie, Rui Zhang:
On Characteristic Rank for Matrix and Tensor Completion [Lecture Notes]. 125-129 - David Ernesto Troncoso Romero, Miriam Guadalupe Cruz Jiménez:
Simplifying Single-Bin Discrete Fourier Transform Computations [Tips & Tricks]. 130-136 - Tirza Routtenberg, Alberto Carini, Emilie Chouzenoux, Piya Pal, José Carlos Moreira Bermudez, Lucio Marcenaro:
Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions]. 138-143
Volume 38, Number 3, May 2021
- Christian Jutten:
Introducing SPM's New Team of Area Editors: Part 2 [From the Editor]. 3-5 - John Edwards:
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]. 6-9 - Hagit Messer, Arye Nehorai, Jeffrey L. Krolik, José M. F. Moura, Al Hero, Joseph Tabrikian:
In Remembrance of Peter Schultheiss [In Memoriam]. 10 - Mónica F. Bugallo, Anthony G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto B. Togneri:
Innovation Starts With Education [From the Guest Editors]. 11-13 - Alan V. Oppenheim, Anthony G. Constantinides:
Reflections After 50-Plus Years in the Classroom [Reflections]. 14-18 - Keshab K. Parhi:
Teaching Digital Signal Processing by Partial Flipping, Active Learning, and Visualization: Keeping Students Engaged With Blended Teaching. 20-29 - Sally A. Male, Roberto B. Togneri, Lu C. Jin:
Novice to Postgraduate Researcher Perceptions of Threshold Concepts and Capabilities in Signal Processing: Understanding Students' and Researchers' Perspectives. 30-36 - Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar:
Personalized Education in the Artificial Intelligence Era: What to Expect Next. 37-50 - Clive Cheong Took, Stephen R. Alty, Anush Yardim, David M. Howard:
Creativity First, Science Follows: Lessons in Digital Signal Processing Education. 51-61 - Yolanda Campos-Roca:
Multidisciplinary Project-Based Learning: Improving Student Motivation for Learning Signal Processing. 62-72 - Meinard Müller, Brian McFee, Katherine M. Kinnaird:
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students. 73-84 - Kathleen E. Wage, John R. Buck, Jill K. Nelson, Margret A. Hjalmarson:
What Were They Thinking?: Refining Conceptual Assessments Using Think-Aloud Problem Solving. 85-93 - Jorge Torres Gómez, Antonio Rodriguez-Hidalgo, Yannelys Virginia Jerez Naranjo, Carmen Peláez-Moreno:
Teaching Differently: The Digital Signal Processing of Multimedia Content Through the Use of Liberal Arts. 94-104 - Michael Gerstmair, Martin Gschwandtner, Rainer Findenig, Oliver Lang, Alexander Melzer, Mario Huemer:
Miniaturized Advanced Driver Assistance Systems: A Low-Cost Educational Platform for Advanced Driver Assistance Systems and Autonomous Driving. 105-114 - K. Wendy Tang, Petar M. Djuric:
Bachelor of Science in Electrical Engineering Online: A Journey of Challenges and Triumphs. 115-121 - John E. Ball, Mahnas Jean Mohammadi-Aragh, Christopher Goodin:
Engaging Students in an Automotive Autonomy Sensor Processing Class: Incorporating active learning and high-fidelity, physics-based autonomy simulation into class projects. 122-132 - Elias Aboutanios, Vidhyasaharan Sethu, Eliathamby Ambikairajah, David S. Taubman, Julien Epps:
Teaching Signal Processing Through Frequent and Diverse Design: A Pedagogical Approach. 133-143 - Felipe A. Tobar, Felipe Bravo-Marquez, Jocelyn Dunstan, Joaquín Fontbona, Alejandro Maass, Daniel Remenik, Jorge F. Silva:
Data Science for Engineers: A Teaching Ecosystem. 144-153 - Ales Procházka, Oldrich Vysata, Vladimír Marík:
Integrating the Role of Computational Intelligence and Digital Signal Processing in Education: Emerging Technologies and Mathematical Tools. 154-162 - Manish Narwaria:
The Transition From White Box to Black Box: Challenges and Opportunities in Signal Processing Education. 163-173 - Irwin King, Chandni Saxena, Christian Pak, Chak Ming Lam, Haiyan Cai:
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises. 174-184 - Cagatay Candan:
Proper Definition and Handling of Dirac Delta Functions [Lecture Notes]. 186-203 - David Ernesto Troncoso Romero, Miriam Guadalupe Cruz Jiménez, Uwe Meyer-Baese:
Alternative Data Paths for the Cascaded Integrator-Comb Decimator [Tips & Tricks]. 194-200 - Athina P. Petropulu:
IEEE Signal Processing Society PROGRESS: Support for Underrepresented Talent in the Field of Signal Processing [Conference Highlights]. 201-203
Volume 38, Number 4, July 2021
- Christian Jutten:
Advances in Science Must Benefit All Humanity [From the Editor]. 3-11 - Dario Farina, Arash Mohammadi, Tülay Adali, Nitish V. Thakor, Konstantinos N. Plataniotis:
Signal Processing for Neurorehabilitation and Assistive Technologies [From the Guest Editors]. 5-7 - John Edwards:
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 Users to Accommodate the Prosthesis [Special Reports]. 8-11 - Chakaveh Ahmadizadeh, Mahta Khoshnam, Carlo Menon:
Human Machine Interfaces in Upper-Limb Prosthesis Control: A Survey of Techniques for Preprocessing and Processing of Biosignals. 12-22 - Henrique Dantas, Taylor C. Hansen, David J. Warren, V. John Mathews:
Interpreting Volitional Movement Intent From Biological Signals: A Review. 23-33 - Yiwen Wang, José C. Príncipe:
Reinforcement Learning in Reproducing Kernel Hilbert Spaces: Enabling Continuous Brain?Machine Interface Adaptation. 34-45 - Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski:
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. 46-53 - Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang:
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. 54-64 - Marc Jayson Baucas, Petros Spachos, Stefano Gregori:
Internet-of-Things Devices and Assistive Technologies for Health Care: Applications, Challenges, and Opportunities. 65-77 - Kun Qian, Zixing Zhang, Yoshiharu Yamamoto, Björn W. Schuller:
Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring. 78-88 - Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic, Alain de Cheveigné, Edmund C. Lalor, Bernd T. Meyer, Sina Miran, Tom Francart, Alexander Bertrand:
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. 89-102 - Ales Holobar, Dario Farina:
Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding. 103-118 - Richard G. Lyons, Carl Howard:
Improvements to the Sliding Discrete Fourier Transform Algorithm [Tips & Tricks]. 119-127 - Pratyush Pranav:
Computational Topology for Biomedical Images and Data: Theory and Applications [Book Review]. 130-131
Volume 38, Number 5, September 2021
- Christian Jutten:
Think Outside the Box! [From the Editor]. 3 - Ahmed H. Tewfik:
"She Changed Astronomy Forever. He Won the Nobel Prize for It." [President's Message]. 4-5 - John Edwards:
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 Reports]. 8-11 - Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter:
Sketching Data Sets for Large-Scale Learning: Keeping only what you need. 12-36 - Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. 37-66 - Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Mark D. Plumbley:
Sound Event Detection: A tutorial. 67-83 - Ronald M. Aarts:
Tracking and Estimation of Frequency, Amplitude, and Form Factor of a Harmonic Time Series [Lecture Notes]. 86-91
Volume 38, Number 6, November 2021
- Furkan Yesiler, Guillaume Doras, Rachel M. Bittner, Christopher J. Tralie, Joan Serrà:
Audio-Based Musical Version Identification: Elements and challenges. 115-136 - Ahmed H. Tewfik:
Stepping Out of Our "Cultural Ghettoes" [President's Message]. 5 - Chi-Chun Lee, Kusha Sridhar, Jeng-Lin Li, Wei-Cheng Lin, Bo-Hao Su, Carlos Busso:
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities. 22-38 - John Edwards:
Artificial Intelligence, Machine Learning, and Signal Processing: Researchers are using artificial intelligence, machine learning, and signal processing to build powerful three-level platforms to help meet project goals [Special Reports]. 6-145 - Juan Sebastián Gómez Cañón, Estefanía Cano, Tuomas Eerola, Perfecto Herrera, Xiao Hu, Yi-Hsuan Yang, Emilia Gómez:
Music Emotion Recognition: Toward new, robust standards in personalized and context-sensitive applications. 106-114 - Jing Han, Zixing Zhang, Cecilia Mascolo, Elisabeth André, Jianhua Tao, Ziping Zhao, Björn W. Schuller:
Deep Learning for Mobile Mental Health: Challenges and recent advances. 96-105 - Ertugrul Basar, H. Vincent Poor:
Present and Future of Reconfigurable Intelligent Surface-Empowered Communications [Perspectives]. 146-152 - Björn W. Schuller, Rosalind W. Picard, Elisabeth André, Jonathan Gratch, Jianhua Tao:
Intelligent Signal Processing for Affective Computing [From the Guest Editors]. 9-11 - Sicheng Zhao, Guoli Jia, Jufeng Yang, Guiguang Ding, Kurt Keutzer:
Emotion Recognition From Multiple Modalities: Fundamentals and methodologies. 59-73 - Brandon M. Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay, Sang Eun Woo, Sidney K. D'Mello:
Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing: A case study of automated video interviews. 84-95 - Sina Alisamir, Fabien Ringeval:
On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview. 12-21 - Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
The Hitchhiker's Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques. 39-49 - Arman Kheirati Roonizi:
ℓ2 and ℓ1 Trend Filtering: A Kalman Filter Approach [Lecture Notes]. 137-145 - Ronald Böck:
Affects in Groups: A review on automated affect processing and estimation in groups. 74-83 - Christian Jutten:
Affects and Emotions in IEEE Signal Processing Magazine [From the Editor]. 3-4 - Zitong Yu, Xiaobai Li, Guoying Zhao:
Facial-Video-Based Physiological Signal Measurement: Recent advances and affective applications. 50-58
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