Results 21 to 30 of about 23,490,234 (337)
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains [PDF]
IEEE Signal Processing Magazine, 2012 In applications such as social, energy, transportation, sensor, and neuronal networks, high-dimensional data naturally reside on the vertices of weighted graphs.
D. Shuman +4 more
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Federated Learning: A signal processing perspective [PDF]
IEEE Signal Processing Magazine, 2021 The dramatic success of deep learning is largely due to the availability of data. Data samples are often acquired on edge devices, such as smartphones, vehicles, and sensors, and in some cases cannot be shared due to privacy considerations.
Tomer Gafni +4 more
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Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid [PDF]
IEEE Transactions on Signal Processing, 2021 The underlying theme of this paper is to explore the various facets of power systems data through the lens of graph signal processing (GSP), laying down the foundations of the Grid-GSP framework.
Raksha Ramakrishna, A. Scaglione
semanticscholar +1 more source
Efficient Neuromorphic Signal Processing with Loihi 2 [PDF]
IEEE Workshop on Signal Processing Systems, 2021 The biologically inspired spiking neurons used in neuromorphic computing are nonlinear filters with dynamic state variables—very different from the stateless neuron models used in deep learning. The next version of Intel's neuromorphic research processor,
G. Orchard +6 more
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Signal Processing On Cell Complexes [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 The processing of signals supported on non-Euclidean domains has attracted large interest recently. Thus far, such non-Euclidean domains have been abstracted primarily as graphs with signals supported on the nodes, though the processing of signals on ...
T. Roddenberry +2 more
semanticscholar +1 more source
Genomic Signal Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2011 1Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA 2Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA 3Department of Information and Computer Science, Aalto University, Espoo 00076, Finland 4Department of Electrical and Computer ...
Braga-Neto, Ulisses +5 more
openaire +4 more sources
An Overview of Signal Processing Techniques for Terahertz Communications [PDF]
Proceedings of the IEEE, 2020 Terahertz (THz)-band communications are a key enabler for future-generation wireless communication systems that promise to integrate a wide range of data-demanding applications.
Hadi Sarieddeen +2 more
semanticscholar +1 more source
Teaching Signal Processing to the Medical Profession [PDF]
, 2009 Knowledge of signal processing is very important for medical students. A medical signal may be used for monitoring, constructing an image, or for extracting the numerical quantity of a parameter.
Dekker, J.P. +4 more
core +7 more sources
Signals and Signal Processing for the Electrophysiologist [PDF]
Circulation: Arrhythmia and Electrophysiology, 2011 In part II of this series, using the background covered in part I on electrogram acquisition and signal processing, we discuss potential errors in mapping because of artifact or inappropriate filtering of signals that may lead to unsuitable selection of ablation sites. ### Saturation Artifact If a 3-mV peak signal is being amplified at a gain of 5000,
K.L. Venkatachalam +2 more
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An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2015 Communication at millimeter wave (mmWave) frequencies is defining a new era of wireless communication. The mmWave band offers higher bandwidth communication channels versus those presently used in commercial wireless systems.
R. Heath +4 more
semanticscholar +1 more source