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TFA-Net: A Deep Learning-Based Time-Frequency Analysis Tool
IEEE Transactions on Neural Networks and Learning Systems, 2023Recently, synchrosqueenzing transform (SST)-based time-frequency analysis (TFA) methods have been developed for achieving the highly concentrated TF representation (TFR). However, SST-based methods suffer from two drawbacks. The first one is that the TFRs are unsatisfactory when dealing with the multicomponent signals, the instantaneous frequencies ...
Pingping Pan +4 more
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Time-Frequency Analysis (TFA) Method for Load Identification on Non-Intrusive Load Monitoring
2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 2019Public awareness of energy conservation can be realized through the process of electricity monitoring so that information can be found related to electricity usage and potential savings that can be made by the community. With the information on the results of this monitoring, the community can manage electricity usage more optimally so that it will ...
Nur Iksan +2 more
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HDEC-TFA: An Unsupervised Learning Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Understanding the physical properties and scattering mechanisms contributes to synthetic aperture radar (SAR) image interpretation. For single-polarized SAR data, however, it is difficult to extract the physical scattering mechanisms due to lack of ...
Bin Lei, Mihai Datcu, Zongxu Pan
exaly +2 more sources
Design and Validation of a Food Frequency Questionnaire to Evaluate the Consumption of Trans Fatty Acids in the Adult Population (FFQ-TFA) [PDF]
International Journal of Environmental Research and Public Health, 2022 Instruments for estimating the intake of food components can be useful in the prevention and/or treatment of diseases related to improper diet. There is, at present, no scientifically validated instrument for estimating consumption of trans fatty acids ...
Juana Elizabeth Elton Puente +2 more
exaly +2 more sources
2023
The ongoing Swarm mission of the European Space Agency (ESA) provides an opportunity for a better knowledge of the near-Earth electromagnetic environment, including investigations of ultra-low frequency (ULF) wave events. The Time-Frequency Analysis (TFA) tool is a processing tool established for deriving Pc1 (0.2–5 Hz) and Pc3 (20– ...
Georgios Balasis +6 more
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The ongoing Swarm mission of the European Space Agency (ESA) provides an opportunity for a better knowledge of the near-Earth electromagnetic environment, including investigations of ultra-low frequency (ULF) wave events. The Time-Frequency Analysis (TFA) tool is a processing tool established for deriving Pc1 (0.2–5 Hz) and Pc3 (20– ...
Georgios Balasis +6 more
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Signal characteristics of Bromo volcano eruption in 2015 based on time-frequency analysis (TFA)
AIP Conference Proceedings, 2023Meidi Arisalwadi +3 more
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Wavelet-based Synchroextracting Transform: An effective TFA tool for machinery fault diagnosis
Control Engineering Practice, 2021Xu Yang, Yueyang Li, Gang Yu
exaly
TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring
Machine LearningPatara Trirat, Jae-Gil Lee 0001
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