IEEE SIGNAL PROCESSING MAGAZINE
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Table of contents
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Table of Contents| 2020
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Masthead| 2020
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Submitting Columns and Forums to SPM [From the Editor]Heath, Robert W. et al. | 2020
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If You Cannot Come to Us, We Will Go to You... [President's Message]Sayed, Ali H. et al. | 2020
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New Society Officers Elected and Fellow Evaluation Committee Chair and Vice Chair Named for 2020 [Society News]| 2020
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SPS Announces 2020 Class of Distinguished Lecturers and Distinguished Industry Speakers [Society News]| 2020
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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]Krauser, Natalie et al. | 2020
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Signal Processing Inspires Network Innovation: Signal Processing Is the Key as Researchers Work to Boost Network Speed and Capacity [Special Reports]Edwards, John et al. | 2020
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Top Downloads in IEEE Xplore [Reader's Choice]| 2020
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Computational MRI: Compressive Sensing and Beyond [From the Guest Editors]Jacob, Mathews / Ye, Jong Chul / Ying, Leslie et al. | 2020
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Mathematical Models for Magnetic Resonance Imaging Reconstruction: An Overview of the Approaches, Problems, and Future Research AreasDoneva, Mariya et al. | 2020
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Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization AlgorithmsFessler, Jeffrey A. et al. | 2020
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Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural NetworksWen, Bihan / Ravishankar, Saiprasad / Pfister, Luke et al. | 2020
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Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine LearningJacob, Mathews / Mani, Merry P. / Ye, Jong Chul et al. | 2020
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Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better ImagingHaldar, Justin P. / Setsompop, Kawin et al. | 2020
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Accelerated Dynamic Magnetic Resonance Imaging Using Learned Representations: A New Frontier in Biomedical ImagingChristodoulou, Anthony G. / Lingala, Sajan Goud et al. | 2020
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Computational MRI With Physics-Based Constraints: Application to Multicontrast and Quantitative ImagingTamir, Jonathan I. / Ong, Frank / Anand, Suma et al. | 2020
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Plug-and-Play Methods for Magnetic Resonance Imaging: Using Denoisers for Image RecoveryAhmad, Rizwan / Bouman, Charles A. / Buzzard, Gregery T. et al. | 2020
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Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance ImagingSandino, Christopher M. / Cheng, Joseph Y. / Chen, Feiyu et al. | 2020
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Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and IssuesKnoll, Florian / Hammernik, Kerstin / Zhang, Chi et al. | 2020
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Deep Magnetic Resonance Image Reconstruction: Inverse Problems Meet Neural NetworksLiang, Dong / Cheng, Jing / Ke, Ziwen et al. | 2020
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Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]Stankovic, Ljubisa / Mandic, Danilo P. / Dakovic, Milos et al. | 2020
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EUSIPCO 2019: A Chronicle of the 27th European Signal Processing Conference in A Coruna, Spain: Looking Into the Future of Signal Processing [Conference Highlights]Bugallo, Monica / Castedo, Luis et al. | 2020
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Join the IEEE Signal Processing Cup 2020| 2020
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Front Cover| 2020
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Special Issue: Innovation Starts With Education| 2020
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Dates Ahead| 2020