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Web-Based Formal Versus Informal Mindfulness Programs for University Students With and Those Without Recent Self-Injury: Randomized Controlled Trial.

J Med Internet Res
Petrovic J, Mettler J, Böke BN, Rogers MA, Hamza CA, Bloom E, Di Genova L, Romano V, Heath NL.   +8 more
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TFA-Net: A Deep Learning-Based Time-Frequency Analysis Tool

IEEE Transactions on Neural Networks and Learning Systems, 2023
Recently, 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, Yunjian Zhang, Zhenmiao Deng, Shaocan Fan, Xiaohong Huang   +4 more
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The Time-Frequency Analysis (TFA) toolbox: a versatile processing tool for the recognition of magnetospheric and ionospheric signals in Swarm time series

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&#8211 ...
Georgios Balasis, Constantinos Papadimitriou, Adamantia Zoe Boutsi, Georgios Vasalos, Alexandra Antonopoulou, Omiros Giannakis, Ashley Smith   +6 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), 2019
Public 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, Erika Devi Udayanti, Djoko Adi Widodo   +2 more
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Signal characteristics of Bromo volcano eruption in 2015 based on time-frequency analysis (TFA)

AIP Conference Proceedings, 2023
Meidi Arisalwadi, Febrian Dedi Sastrawan, Rahmania Rahmania, Hetty Triastuty   +3 more
openaire   +1 more source

High-Order Synchroextracting Time–Frequency Analysis and Its Application in Seismic Hydrocarbon Reservoir Identification

IEEE Geoscience and Remote Sensing Letters, 2021
Xuping Chen, Hui Chen, Yuxia Fang
exaly  

Wavelet-based Synchroextracting Transform: An effective TFA tool for machinery fault diagnosis

Control Engineering Practice, 2021
Zhenjin Shi, Xu Yang, Yueyang Li
exaly  

Sparse Time–Frequency Analysis of Seismic Data: Sparse Representation to Unrolled Optimization

IEEE Transactions on Geoscience and Remote Sensing, 2023
Naihao Liu, Youbo Lei, Yang Yang
exaly  

A Time-Synchroextracting Transform for the Time–Frequency Analysis of Seismic Data

IEEE Geoscience and Remote Sensing Letters, 2020
Li Zhen, Jinghuai Gao, Zhiguo Wang
exaly