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ORCIDIEEE Signal Processing Magazine, Volume 39
Volume 39, Number 1, January 2022
- Christian Jutten:
Ethical and Ecological Issues in Signal Processing [From the Editor]. 3-11 - Ahmed H. Tewfik:
An Existential Question [President's Message]. 4-5 - Athina P. Petropulu:
Signal Processing in Our Digital Era [President's Message]. 5-6 - Ali H. Sayed:
2021 IEEE Signal Processing Society General Election Results for President-Elect, Members-at-Large, and Regional Directors-at-Large [Society News]. 7-15 - John Edwards:
Signal Processing Underpins Advances in Medical Diagnostics and Treatments: New signal processing-supported technologies benefit both physicians and patients [Special Reports]. 8-11 - Mary L. Comer
, Jeff P. Simmons, Steve Niezgoda, Charles A. Bouman, Benjamin Berkels:
Signal Processing for Advanced Materials [From the Guest Editors]. 12-15 - Mary L. Comer, Jeff P. Simmons:
The Markov Random Field in Materials Applications: A synoptic view for signal processing and materials readers. 16-24 - Philipp M. Pelz, Ian Johnson, Colin Ophus, Peter Ercius, Mary C. Scott:
Real-Time Interactive 4D-STEM Phase-Contrast Imaging From Electron Event Representation Data: Less computation with the right representation. 25-31 - S. V. Venkatakrishnan, K. Aditya Mohan, Amirkoushyar Ziabari, Charles A. Bouman:
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches. 32-43 - Doga Gürsoy, Yu-chen Karen Chen-Wiegart, Chris Jacobsen:
Lensless X-Ray Nanoimaging: Revolutions and opportunities. 44-54 - Péter Kovács, Bernhard Lehner, Gregor Thummerer, Günther Mayr, Peter Burgholzer, Mario Huemer:
Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions. 55-67 - Khemraj Shukla, Ameya D. Jagtap, James L. Blackshire, Daniel Sparkman, George Em Karniadakis:
A Physics-Informed Neural Network for Quantifying the Microstructural Properties of Polycrystalline Nickel Using Ultrasound Data: A promising approach for solving inverse problems. 68-77 - Lan Fu, Hongkai Yu, Xiaoguang Li, Craig P. Przybyla, Song Wang:
Deep Learning for Object Detection in Materials-Science Images: A tutorial. 78-88 - Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi:
In Situ Transmission Electron Microscopy: Signal processing challenges and examples. 89-103 - Chandler A. Becker, James A. Warren:
Progress in Materials Data Availability and Application: A review. 104-108 - Federica Lago, Cecilia Pasquini, Rainer Böhme, Hélène Dumont, Valérie Goffaux, Giulia Boato:
More Real Than Real: A Study on Human Visual Perception of Synthetic Faces [Applications Corner]. 109-116 - Petre Stoica, Xiaolei Shang, Yuanbo Cheng:
The Cramér-Rao Bound for Signal Parameter Estimation From Quantized Data [Lecture Notes]. 118-125 - Emil Björnson, Lucio Marcenaro:
Configuring an Intelligent Reflecting Surface for Wireless Communications: Highlights from the 2021 IEEE Signal Processing Cup student competition [SP Competitions]. 126-131
Volume 39, Number 2, March 2022
- Christian Jutten:
Balancing Artificial and Natural Intelligence [From the Editor]. 3-13 - Athina P. Petropulu:
The IEEE Signal Processing Society Needs Your Talent - Become an SPS Volunteer [President's Message]. 4-5 - John Edwards:
Signal Processing Supports Robotic Innovation: Robots are on a roll as new designs and capabilities open the door to fresh applications [Special Reports]. 14-16 - Raghavendra G. Kulkarni:
Synthesis of Fast-Decaying Window Functions [Lecture Notes]. 17-23 - Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye:
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. 24-26 - Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. 28-44 - Yair Ben Sahel, John P. Bryan, Brian Cleary, Samouil L. Farhi, Yonina C. Eldar:
Deep Unrolled Recovery in Sparse Biological Imaging: Achieving fast, accurate results. 45-57 - Pingfan Song, Herman Verinaz-Jadan, Carmel L. Howe, Amanda J. Foust, Pier Luigi Dragotti:
Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches. 58-72 - Virginie Uhlmann, Laurène Donati, Daniel Sage:
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices. 73-86 - Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun:
Deep Learning in Neuroimaging: Promises and challenges. 87-98 - Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. A. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz:
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges. 99-116 - Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang:
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. 117-134 - Emil Björnson, Henk Wymeersch, Bho Matthiesen, Petar Popovski, Luca Sanguinetti, Elisabeth de Carvalho:
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications. 135-158 - Haizhou Li:
A Unique ICASSP 2022: During an Unusual Time [Conference Highlights]. 159-160
Volume 39, Number 3, May 2022
- Christian Jutten:
Ethical Dilemmas in the Sciences [From the Editor]. 3-4 - Athina P. Petropulu:
On Dual-Use Information Technology [President's Message]. 5-6 - John Edwards:
Fire, Water, and Signal Processing: Researchers are turning to signal processing to help them address challenges posed by two of the planet's fundamental forces [Special Reports]. 10-13 - Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A signal processing perspective. 14-41 - Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales:
Self-Supervised Representation Learning: Introduction, advances, and challenges. 42-62 - Rishabh Gupta, Jianjun He, Rishabh Ranjan, Woon-Seng Gan, Florian Klein, Christian Schneiderwind, Annika Neidhardt, Karlheinz Brandenburg, Vesa Välimäki:
Augmented/Mixed Reality Audio for Hearables: Sensing, control, and rendering. 63-89 - Zafar Rafii:
The Constant-Q Harmonic Coefficients: A timbre feature designed for music signals [Lecture Notes]. 90-96 - Trinh Van Chien, Hien Quoc Ngo, Symeon Chatzinotas, Björn E. Ottersten:
Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]. 97-104 - Arman Kheirati Roonizi:
Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks]. 105-114 - Krzysztof Duda, Tomasz P. Zielinski:
The Polyphase Prony Method [Tips & Tricks]. 115-120 - Shuangjun Liu, Xiaofei Huang, Lucio Marcenaro, Sarah Ostadabbas:
Privacy-Preserving in-Bed Human Pose Estimation: Highlights from the IEEE Video and Image Processing Cup 2021 Student Competition [SP Competitions]. 121-129 - Lucas A. Thomaz, Sérgio M. M. Faria, Luis M. N. Tavora, Lucio Marcenaro:
Automatic Medical Image Diagnosis: Highlights from the 2021 IEEE 5-Minute Video Clip Contest [SP Competitions]. 130-134
Volume 39, Number 4, July 2022
- Christian Jutten:
Trusting in the Sciences Requires Explainability [From the Editor]. 3-4 - Tülay Adali, Rodrigo Capobianco Guido, Tin Kam Ho, Klaus-Robert Müller, Stephen C. Strother:
Interpretability, Reproducibility, and Replicability [From the Guest Editors]. 5-7 - Tülay Adali, Furkan Kantar, Mohammad Abu Baker Siddique Akhonda, Stephen C. Strother, Vince D. Calhoun, Evrim Acar:
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness. 8-24 - Selin Aviyente, Abdullah Karaaslanli:
Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection. 25-39 - Simon Letzgus, Patrick Wagner, Jonas Lederer, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon:
Toward Explainable Artificial Intelligence for Regression Models: A methodological perspective. 40-58 - Ghassan AlRegib, Mohit Prabhushankar:
Explanatory Paradigms in Neural Networks: Towards relevant and contextual explanations. 59-72 - Ian E. Nielsen, Dimah Dera, Ghulam Rasool, Ravi Prakash Ramachandran, Nidhal Carla Bouaynaya:
Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks. 73-84 - Payel Das, Lav R. Varshney:
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. 85-95 - Tin Kam Ho, Yen-Fu Luo, Rodrigo Capobianco Guido:
Explainability of Methods for Critical Information Extraction From Clinical Documents: A survey of representative works. 96-106 - Rongtao Jiang, Choong-Wan Woo, Shile Qi, Jing Wu, Jing Sui:
Interpreting Brain Biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. 107-118 - Rami Mochaourab, Arun Venkitaraman, Isak Samsten, Panagiotis Papapetrou, Cristian R. Rojas:
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. 119-129 - Leonid V. Moroz, Volodymyr Samotyy, Zbigniew Kokosinski, Pawel Gepner:
Simple Multiple Precision Algorithms for Exponential Functions [Tips & Tricks]. 130-137 - Berkan Dulek:
Corrections and Comments on "An Efficient Algorithm for Maneuvering Target Tracking" [Corrections and Comments]. 138-139
Volume 39, Number 5, September 2022
- Christian Jutten:
Think About Making Your Signal Processing Projects Compatible With Sustainable Development [From the Editor]. 3-4 - Athina P. Petropulu:
Memories From a Historic, Hybrid, Distributed ICASSP [President's Message]. 5-7 - Ahmed H. Tewfik:
Election of Regional Directors-at-Large and Members-at-Large [Society News]. 8-9 - Romain Couillet, Denis Trystram, Thierry Ménissier:
The Submerged Part of the AI-Ceberg [Perspectives]. 10-17 - John Edwards:
Applying Signal Processing to Opposite Sides of Imaging: Separate European research projects are focusing on aspects of completely real and entirely fake images [Special Reports]. 18-20 - Jacob Chakareski, Mahmudur Khan, Murat Yuksel:
Toward Enabling Next-Generation Societal Virtual Reality Applications for Virtual Human Teleportation: A novel future system concept and computation-communication-signal representation trade-offs. 22-41 - Sara Helal, Hadi Sarieddeen, Hayssam Dahrouj, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini:
Signal Processing and Machine Learning Techniques for Terahertz Sensing: An overview. 42-62 - Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. 63-70 - David Shiung:
A Trick for Designing Composite Filters With Sharp Transition Bands and Highly Suppressed Stopbands [Tips & Tricks]. 70-76 - Pushpendra Singh, Amit Singhal, Binish Fatimah, Anubha Gupta, Shiv Dutt Joshi:
Proper Definitions of Dirichlet Conditions and Convergence of Fourier Representations [Lecture Notes]. 77-84 - Petre Stoica, Xiaolei Shang, Yuanbo Cheng:
The Monte-Carlo Sampling Approach to Model Selection: A Primer [Lecture Notes]. 85-92
Volume 39, Number 6, November 2022
- Athina P. Petropulu:
Starting the Ethics Discussion in Our Community [President's Message]. 4-5 - John Edwards:
Signal Processing at the Epicenter of Ground-Shaking Research: Researchers turn to signal processing to minimize earthquake damage, rescue victims, and perhaps even provide advance warnings [Special Reports]. 6-9 - Xinhao Wang, Shuai Yang, Wenjing Wang, Jiaying Liu:
Artistic Text Style Transfer: An overview of state-of-the-art methods and datasets [SP Forum]. 10-17 - Lei Cheng, Feng Yin, Sergios Theodoridis, Sotirios Chatzis, Tsung-Hui Chang:
Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling. 18-52 - Daniel Romero, Seung-Jun Kim:
Radio Map Estimation: A data-driven approach to spectrum cartography. 53-72 - Luigi Longobardi, Tony VenGraitis, Christian Jutten:
Scientific Integrity and Misconduct in Publications: Guidance from the IEEE Publishing Ethics Team [SP Forum]. 73-84 - Kai Wu, J. Andrew Zhang, Y. Jay Guo:
Fast and Accurate Linear Fitting for an Incompletely Sampled Gaussian Function With a Long Tail [Tips & Tricks]. 76-84 - Lorenzo Picinali, Brian FG Katz, Michele Geronazzo, Piotr Majdak, Arcadio Reyes-Lecuona, Alessandro Vinciarelli:
The SONICOM Project: Artificial Intelligence-Driven Immersive Audio, From Personalization to Modeling [Applications Corner]. 85-88 - Christian Jutten:
Scientific Integrity: A Duty for Researchers [From the Editor]. 3-84
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