IEEE SIGNAL PROCESSING MAGAZINE
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
Table of contents
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2019 SP Year End Index| 2019
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Table of Contents| 2019
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Masthead| 2019
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Organizing a Special Issue of IEEE SPM [From the Editor]Heath, Robert W. et al. | 2019
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"Guilty of the Good We Did Not Do" [President's Message]Sayed, Ali H. et al. | 2019
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Medicine on the Move: Wearable devices supply health-care providers with the data and insights necessary to diagnose medical issues and create optimal treatment plans [Special Reports]Edwards, John et al. | 2019
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Learning Algorithms and Signal Processing for Brain-Inspired Computing [From the Guest Editors]Simeone, Osvaldo / Rajendran, Bipin / Gruning, Andre et al. | 2019
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The Importance of Space and Time for Signal Processing in Neuromorphic Agents: The Challenge of Developing Low-Power, Autonomous Agents That Interact With the EnvironmentIndiveri, Giacomo / Sandamirskaya, Yulia et al. | 2019
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Event-Driven Sensing for Efficient Perception: Vision and audition algorithmsLiu, Shih-Chii / Rueckauer, Bodo / Ceolini, Enea et al. | 2019
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Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicitySevuktekin, Noyan C. / Varshney, Lav R. / Hanumolu, Pavan K. et al. | 2019
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Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networksNeftci, Emre O. / Mostafa, Hesham / Zenke, Friedemann et al. | 2019
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An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and ApplicationsJang, Hyeryung / Simeone, Osvaldo / Gardner, Brian et al. | 2019
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Spiking Reservoir Networks: Brain-inspired recurrent algorithms that use random, fixed synaptic strengthsSoures, Nicholas / Kudithipudi, Dhireesha et al. | 2019
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Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networksPehlevan, Cengiz / Chklovskii, Dmitri B. et al. | 2019
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Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approachesRajendran, Bipin / Sebastian, Abu / Schmuker, Michael et al. | 2019
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Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniquesHaeb-Umbach, Reinhold / Watanabe, Shinji / Nakatani, Tomohiro et al. | 2019
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A Signal Processing Perspective of Monitoring Active Volcanoes [Applications Corner]Khan, Muhammad Salman / Curilem, Millaray / Huenupan, Fernando et al. | 2019
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Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]Stankovic, Ljubisa / Mandic, Danilo P. / Dakovic, Milos et al. | 2019
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Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes]Elvira, Victor / Martino, Luca / Bugallo, Monica F. et al. | 2019
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The Superposition Principle of Linear Time-Invariant Systems [Lecture Notes]Zhang, Ming / Zhang, Anxue et al. | 2019
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A Fast, Accurate, and Separable Method for Fitting a Gaussian Function [Tips & Tricks]Al-Nahhal, Ibrahim / Dobre, Octavia A. / Basar, Ertugrul et al. | 2019
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ICME 2020| 2019
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[Dates Ahead]| 2019
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The Industry Digital Signal Processing Technology Standing Committee [In the Spotlight]Polley, Mike / Luo, Fa-Long et al. | 2019
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Front Cover| 2019
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Special Issue: Innovation Starts with Education| 2019
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IEEE Journal of Selected Topics in Signal Processing Special Issue on Domain Enriched Learning for Medical Imaging| 2019