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IEEE Signal Processing Magazine, Volume 37
Volume 37, Number 1, January 2020
- Jeffrey A. Fessler
:
Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms. 33-40 - Justin P. Haldar
, Kawin Setsompop
:
Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging. 69-82 - Bihan Wen
, Saiprasad Ravishankar
, Luke Pfister
, Yoram Bresler
:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. 41-53 - Jonathan I. Tamir
, Frank Ong
, Suma Anand, Ekin Karasan, Ke Wang, Michael Lustig:
Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative Imaging. 94-104 - Mathews Jacob
, Merry P. Mani
, Jong Chul Ye
:
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning. 54-68 - Ali H. Sayed:
If You Cannot Come to Us, We Will Go to You... [President's Message]. 5-7 - Rizwan Ahmad, Charles A. Bouman
, Gregery T. Buzzard
, Stanley H. Chan
, Sizhuo Liu, Edward T. Reehorst
, Philip Schniter
:
Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image Recovery. 105-116 - Anthony G. Christodoulou
, Sajan Goud Lingala
:
Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical Imaging. 83-93 - Florian Knoll
, Kerstin Hammernik
, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
:
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. 128-140 - Ljubisa Stankovic
, Danilo P. Mandic
, Milos Dakovic
, Ilya Kisil:
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. 152-162 - Mariya Doneva
:
Mathematical Models for Magnetic Resonance Imaging Reconstruction: An Overview of the Approaches, Problems, and Future Research Areas. 24-32 - Mónica F. Bugallo
, Luis Castedo
:
EUSIPCO 2019: A Chronicle of the 27th European Signal Processing Conference in A Coruna, Spain: Looking Into the Future of Signal Processing [Conference Highlights]. 163-168 - Natalie Krauser:
Remembering James Spilker, Jr., Stanford Professor and Pioneer of GPS Technology: The IEEE Life Fellow's Contributions Opened the Door for More Advanced Navigation Systems [In Memoriam]. 14-15 - John Edwards
:
Signal Processing Inspires Network Innovation: Signal Processing Is the Key as Researchers Work to Boost Network Speed and Capacity [Special Reports]. 16-23 - Mathews Jacob
, Jong Chul Ye, Leslie Ying
, Mariya Doneva
:
Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]. 21-23 - Christopher M. Sandino
, Joseph Y. Cheng
, Feiyu Chen, Morteza Mardani
, John M. Pauly
, Shreyas S. Vasanawala
:
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. 117-127 - Robert W. Heath Jr.
:
Submitting Columns and Forums to SPM [From the Editor]. 3-4 - Dong Liang
, Jing Cheng, Ziwen Ke, Leslie Ying
:
Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural Networks. 141-151
Volume 37, Number 2, March 2020
- Robert W. Heath Jr.
:
What Does an Editor-in-Chief of IEEE Signal Processing Magazine Do, Anyway? [From the Editor]. 3-4 - John Edwards
:
Robotics Rolls Into High Gear With Signal Processing: A robotics revolution promises to transform global industries and services, and signal processing is at the forefront [Special Reports]. 10-13 - Soheil Mohajer
, Itsik Bergel
, Giuseppe Caire
:
Cooperative Wireless Mobile Caching: A Signal Processing Perspective. 18-38 - Yuejie Chi
, Maxime Ferreira Da Costa
:
Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution. 39-57 - Tamir Bendory
, Alberto Bartesaghi, Amit Singer
:
Single-Particle Cryo-Electron Microscopy: Mathematical Theory, Computational Challenges, and Opportunities. 58-76 - Ming Zhang
, Xiaoming Chen
:
The Importance of Continuity for Linear Time-Invariant Systems [Lecture Notes]. 77-100 - Leonardo Chiariglione
:
Delivering Standards to Industries: The MPEG Case [Standards in a Nutshell]. 81-88 - Panos Kudumakis
, Thomas Wilmering, Mark B. Sandler
, Víctor Rodríguez-Doncel, Laurent Boch, Jaime Delgado
:
The Challenge: From MPEG Intellectual Property Rights Ontologies to Smart Contracts and Blockchains [Standards in a Nutshell]. 89-95 - Robert M. Gray
:
In Memory of A.H. "Steen" Gray Jr. [Reflections]. 96-100 - José C. M. Bermudez
, Mónica F. Bugallo
, Alle-Jan van der Veen
:
Highlights From the Signal Processing Theory and Methods Technical Committee [In the Spotlight]. 102-104
Volume 37, Number 3, May 2020
- Robert W. Heath Jr.
:
Revisiting Research on Signal Processing for Communications in a Pandemic [From the Editor]. 3-5 - Ahmed H. Tewfik:
The Year of Living Dangerously [President's Message]. 6-7 - John Edwards
:
Photo and Video Technologies Target New Frontiers: Innovative Imaging Research Enabled by Signal Processing Is Making Cameras More Powerful and Versatile [Special Reports]. 8-167 - Waheed U. Bajwa
, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione:
Machine Learning From Distributed, Streaming Data [From the Guest Editors]. 11-13 - Roula Nassif
, Stefan Vlaski
, Cédric Richard
, Jie Chen
, Ali H. Sayed
:
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. 14-25 - Tsung-Hui Chang
, Mingyi Hong
, Hoi-To Wai
, Xinwei Zhang, Songtao Lu
:
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. 26-38 - Xiaodong Cui
, Wei Zhang, Ulrich Finkler, George Saon
, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. 39-49 - Tian Li, Anit Kumar Sahu
, Ameet Talwalkar, Virginia Smith:
Federated Learning: Challenges, Methods, and Future Directions. 50-60 - Alec Koppel
, Amrit Singh Bedi
, Ketan Rajawat
, Brian M. Sadler
:
Optimally Compressed Nonparametric Online Learning: Tradeoffs between memory and consistency. 61-70 - Emiliano Dall'Anese
, Andrea Simonetto
, Stephen Becker
, Liam Madden:
Optimization and Learning With Information Streams: Time-varying algorithms and applications. 71-83 - Xiao Xu
, Qing Zhao
:
Distributed No-Regret Learning in Multiagent Systems: Challenges and Recent Developments. 84-91 - Angelia Nedic
:
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization. 92-101 - Ran Xin
, Soummya Kar
, Usman A. Khan
:
Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence. 102-113 - Shi Pu
, Alex Olshevsky
, Ioannis Ch. Paschalidis
:
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. 114-122 - Donghwan Lee, Niao He
, Parameswaran Kamalaruban
, Volkan Cevher:
Optimization for Reinforcement Learning: From a single agent to cooperative agents. 123-135 - Aditya Ramamoorthy
, Anindya Bijoy Das
, Li Tang
:
Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing. 136-145 - Zhixiong Yang
, Arpita Gang, Waheed U. Bajwa
:
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model. 146-159 - Kiho Choi
, Jianle Chen, Dmytro Rusanovskyy, Kwang-Pyo Choi, Euee S. Jang
:
An Overview of the MPEG-5 Essential Video Coding Standard [Standards in a Nutshell]. 160-167 - Girmaw Abebe Tadesse
, Oliver Bent, Lucio Marcenaro
, Komminist Weldemariam, Andrea Cavallaro
:
Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions]. 168-172 - Anderson de Rezende Rocha
:
The Information Forensics and Security Technical Committee: Then, Now, and in the Future [In the Spotlight]. 175-176
Volume 37, Number 4, July 2020
- Robert W. Heath Jr.
:
Communications and Sensing: An Opportunity for Automotive Systems [From the Editor]. 3-13 - Ahmed H. Tewfik
:
Audere est Facere [President's Message]. 5-6 - John Edwards
:
Signal Processing Advances Undersea Research: Subsea Research Presents Unique Challenges that Signal Processing Is Helping to Address [Special Reports]. 7-10 - Lina J. Karam
, Jay Katupitiya, Vicente Milanés
, Ioannis Pitas, Jieping Ye:
Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors]. 11-13 - Apostolos Modas
, Ricardo Sanchez-Matilla
, Pascal Frossard
, Andrea Cavallaro
:
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. 14-23 - Christoph Stöckle
, Stephan Herrmann, Tobias Dirndorfer, Wolfgang Utschick
:
Automated Vehicular Safety Systems: Robust Function and Sensor Design. 24-33 - Guang Chen
, Hu Cao
, Jörg Conradt, Huajin Tang
, Florian Röhrbein
, Alois C. Knoll
:
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. 34-49 - You Li
, Javier Ibañez-Guzmán
:
Lidar for Autonomous Driving: The Principles, Challenges, and Trends for Automotive Lidar and Perception Systems. 50-61 - Joshua Rapp
, Julián Tachella
, Yoann Altmann
, Stephen McLaughlin
, Vivek K. Goyal
:
Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances. 62-71 - Canan Aydogdu
, Musa Furkan Keskin
, Gisela K. Carvajal, Olof Eriksson, Hans Hellsten, Hans Herbertsson, Emil Nilsson
, Mats Rydström, Karl Vanas, Henk Wymeersch
:
Radar Interference Mitigation for Automated Driving: Exploring Proactive Strategies. 72-84 - Dingyou Ma, Nir Shlezinger
, Tianyao Huang, Yimin Liu
, Yonina C. Eldar
:
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies. 85-97 - Shunqiao Sun
, Athina P. Petropulu
, H. Vincent Poor
:
MIMO Radar for Advanced Driver-Assistance Systems and Autonomous Driving: Advantages and Challenges. 98-117 - Ulisses M. Braga-Neto
, Edward R. Dougherty:
Machine Learning Requires Probability and Statistics [Perspectives]. 118-122 - Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
:
Neural Networks, Hypersurfaces, and the Generalized Radon Transform [Lecture Notes]. 123-133 - László Sujbert
, Gyula Simon
, Gábor Péceli:
An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]. 134-143 - Maria S. Cross
, Andrea Cavallaro
:
Privacy as a Feature for Body-Worn Cameras [In the Spotlight]. 145-148
Volume 37, Number 5, September 2020
- Robert W. Heath Jr.
:
Reflections on Tutorials and Surveys [From the Editor]. 3-4 - Ahmed H. Tewfik
:
That This Nation, Under God, Shall Have a New Birth of Freedom [President's Message]. 5 - Ali H. Sayed:
Election of Regional Directors-at-Large and Members-at-Large [Society News]. 6-7 - H. Vicky Zhao
:
Top Downloads in IEEE Xplore [Reader's Choice]. 8-10 - John Edwards
:
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]. 11-14 - Anthony Man-Cho So
, Prateek Jain, Wing-Kin Ma
, Gesualdo Scutari:
Nonconvex Optimization for Signal Processing and Machine Learning [From the Guest Editors]. 15-17 - Jiajin Li, Anthony Man-Cho So
, Wing-Kin Ma
:
Understanding Notions of Stationarity in Nonsmooth Optimization: A Guided Tour of Various Constructions of Subdifferential for Nonsmooth Functions. 18-31 - Frank E. Curtis
, Katya Scheinberg
:
Adaptive Stochastic Optimization: A Framework for Analyzing Stochastic Optimization Algorithms. 32-42 - Sijia Liu
, Pin-Yu Chen
, Bhavya Kailkhura
, Gaoyuan Zhang, Alfred O. Hero III
, Pramod K. Varshney
:
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications. 43-54 - Meisam Razaviyayn
, Tianjian Huang, Songtao Lu
, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
:
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. 55-66 - Namrata Vaswani
:
Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches. 67-77 - Xiao Fu
, Nico Vervliet, Lieven De Lathauwer
, Kejun Huang
, Nicolas Gillis
:
Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective. 78-94 - Ruoyu Sun, Dawei Li
, Shiyu Liang, Tian Ding, Rayadurgam Srikant:
The Global Landscape of Neural Networks: An Overview. 95-108 - Jonathan H. Manton
:
Geometry, Manifolds, and Nonconvex Optimization: How Geometry Can Help Optimization. 109-119 - Ehsan Tohidi
, Rouhollah Amiri
, Mario Coutino, David Gesbert, Geert Leus
, Amin Karbasi:
Submodularity in Action: From Machine Learning to Signal Processing Applications. 120-133 - Emil Björnson
, Pontus Giselsson:
Two Applications of Deep Learning in the Physical Layer of Communication Systems [Lecture Notes]. 134-140 - Chun-Lin Liu
, Soo-Chang Pei
:
Closed-Form Output Response of Discrete-Time Linear Time-Invariant Systems Using Intermediate Auxiliary Functions [Lecture Notes]. 140-145 - Ana I. Pérez-Neira
, Xavier Mestre:
A Green ICASSP 2020 in Virtual Barcelona [Conference Highlights]. 146-151 - Damian Campo
, David Martín
, Lucio Marcenaro
:
Unsupervised Anomaly Detection Using Intelligent and Heterogeneous Autonomous Systems: Highlights From the 2020 IEEE Signal Processing Cup Student Competition [SP Competitions]. 152-157 - Wei Liu
, Mohammad Reza Anbiyaei, Xue Jiang
, Lei Zhang
, Lucio Marcenaro
:
Let There Be a Beam: Highlights From the 2020 IEEE Five-Minute Video Clip Contest [SP Competitions]. 157-162
Volume 37, Number 6, November 2020
- Robert W. Heath Jr.
:
Signing Off as Editor-in-Chief [From the Editor]. 3-4 - H. Vicky Zhao
:
Top Downloads in IEEE Xplore [Reader's Choice]. 5-191 - John Edwards
:
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 Safety [Special Reports]. 7-10 - Antonio G. Marques
, Negar Kiyavash, José M. F. Moura
, Dimitri Van De Ville
, Rebecca Willett
:
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. 11-13 - Yuichi Tanaka
, Yonina C. Eldar
, Antonio Ortega
, Gene Cheung
:
Sampling Signals on Graphs: From Theory to Applications. 14-30 - Daniel L. Lau
, Gonzalo R. Arce
, Alejandro Parada-Mayorga
, Daniela Dapena, Karelia Pena-Pena
:
Blue-Noise Sampling of Graph and Multigraph Signals: Dithering on Non-Euclidean Domains. 31-42 - David I. Shuman
:
Localized Spectral Graph Filter Frames: A Unifying Framework, Survey of Design Considerations, and Numerical Comparison. 43-63 - Oguzhan Teke
, P. P. Vaidyanathan
:
Random Node-Asynchronous Graph Computations: Novel Opportunities for Discrete-Time State-Space Recursions. 64-73 - Raksha Ramakrishna
, Hoi-To Wai
, Anna Scaglione
:
A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications. 74-85 - Thomas Dittrich, Gerald Matz
:
Signal Processing on Signed Graphs: Fundamentals and Potentials. 86-98 - Antonio G. Marques
, Santiago Segarra
, Gonzalo Mateos
:
Signal Processing on Directed Graphs: The Role of Edge Directionality When Processing and Learning From Network Data. 99-116 - Xiaowen Dong
, Dorina Thanou
, Laura Toni
, Michael M. Bronstein, Pascal Frossard
:
Graph Signal Processing for Machine Learning: A Review and New Perspectives. 117-127 - Fernando Gama
, Elvin Isufi
, Geert Leus
, Alejandro Ribeiro
:
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks. 128-138 - Mark Cheung
, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura
:
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology. 139-149 - Miljan Petrovic
, Raphaël Liégeois, Thomas William Arthur Bolton
, Dimitri Van De Ville
:
Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals. 150-159 - Jay S. Stanley III
, Eric C. Chi
, Gal Mishne
:
Multiway Graph Signal Processing on Tensors: Integrative Analysis of Irregular Geometries. 160-173 - Sergio Barbarossa
, Stefania Sardellitti
:
Topological Signal Processing: Making Sense of Data Building on Multiway Relations. 174-183 - Utku Demir
, Gaurav Sharma:
SigPrep: Open Source Web-Based Prework for Signals and Systems [SP Education]. 184-191 - Xiang-Gen Xia
:
Undesired Cross Terms [Lecture Notes]. 192-195 - Mohamed Rasheed-Hilmy Abdalmoaty
, Håkan Hjalmarsson
, Bo Wahlberg
:
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes]. 195-199 - Bhaskar D. Rao, Zheng-Hua Tan
:
Highlights From the Machine Learning for Signal Processing Technical Committee [In the Spotlight]. 200-202
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