Results 31 to 40 of about 5,709,929 (152)
Apply Graph Signal Processing on NILM: An Unsupervised Approach Featuring Power Sequences
Sensors, 2023 As a low-cost demand-side management application, non-intrusive load monitoring (NILM) offers feedback on appliance-level electricity usage without extra sensors.
Bochao Zhao +3 more
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Short-Time Prediction Model for Urban Traffic Flow Based on Joint Spatio-Temporal Learning [PDF]
Jisuanji gongcheng, 2023 A joint spatio-temporal analysis can reflect the changing pattern of a studied object in the spatio-temporal dimension, which is significant for revealing the spatio-temporal interactions and mechanisms of regional processes.With a focus on joint spatio ...
GE Yuran, FU Qiang
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A Graph Signal Processing Framework for the Classification of Temporal Brain Data
, 2021 Graph Signal Processing (GSP) addresses the analysis of data living on an irregular domain which can be modeled with a graph. This capability is of great interest for the study of brain connectomes.
Dorina Thanou +3 more
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A Dual Domain Approach to Graph Signal Processing
, 2023 Graph Signal Processing (GSP) extends Discrete Signal Processing (DSP) to data supported by graphs by redefining traditional DSP concepts like signals, shift, filtering, and Fourier transform among others.
John Shi (4930507)
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Multiway Graph Signal Processing on Tensors [PDF]
, 2020 Graph signal processing (GSP) is an important methodology for studying data residing on irregular structures. As acquired data is increasingly taking the form of multi-way tensors, new signal processing tools are needed to maximally utilize the multi-way
Mishne, Gal +5 more
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Twenty-five years of sensor array and multichannel signal processing: a review of progress to date and potential research directions [PDF]
, 2023 In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC ...
W. Liu +19 more
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Graph signal processing for machine learning: A review and new perspectives [PDF]
, 2020 The effective representation, processing, analysis, and visualization of large-scale structured data, especially those related to complex domains, such as networks and graphs, are one of the key questions in modern machine learning.
Toni, L +14 more
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Speaker verification method based on cross-domain attentive feature fusion
Tongxin xuebao, 2023 Aiming at the problem that the lack of structure information among speech signal sample in the front-end acoustic features of speaker verification system, a speaker verification method based on cross-domain attentive feature fusion was proposed.Firstly ...
Zhen YANG +3 more
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Improving Event-Based Non-Intrusive Load Monitoring Using Graph Signal Processing
IEEE Access, 2018 Large-scale smart energy metering deployment worldwide and integration of smart meters within the smart grid will enable two-way communication between the consumer and energy network, thus ensuring improved response to demand.
Bochao Zhao +3 more
doaj +1 more source
NeuroImage, 2022 Brain signatures of functional activity have shown promising results in both decoding brain states, meaning distinguishing between different tasks, and fingerprinting, that is identifying individuals within a large group.
Alessandra Griffa +4 more
doaj +1 more source