Results 21 to 30 of about 1,401 (153)
IEEE Access, 2021 The time-frequency (TF) analysis (TFA) method is an effective tool for analyzing the time-variant features of non-stationary signals. Synchrosqueezing transform (SST) is a promising TFA method that has recently shown its usefulness in a wide range of ...
Zhenfeng Huang +6 more
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Time‐frequency synchroextracting transform
IET Signal Processing, 2022 The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform.
Ran Zhang +6 more
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The monogenic synchrosqueezed wavelet transform: a tool for the decomposition/demodulation of AM–FM images [PDF]
, 2015 The synchrosqueezing method aims at decomposing 1D functions into superpositions of a small number of “Intrinsic Modes”, supposed to be well separated both in time and frequency.
Clausel, Marianne +2 more
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Applied Sciences, 2018 This paper addresses the problem of authentication and identification of wireless devices using their physical properties derived from their Radio Frequency (RF) emissions.
Gianmarco Baldini +2 more
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Quantifying team cooperation through intrinsic multi-scale measures: respiratory and cardiac synchronization in choir singers and surgical teams [PDF]
Royal Society Open Science, 2017 A highly localized data-association measure, termed intrinsic synchrosqueezing transform (ISC), is proposed for the analysis of coupled nonlinear and non-stationary multivariate signals.
Apit Hemakom +4 more
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The Fourier-based Synchrosqueezing Transform [PDF]
, 2013 The short-time Fourier transform (STFT) and continuous wavelet transform (CWT) are intensively used to analyze and process multicomponent signals, ie superpositions of mod- ulated waves.
Meignen, Sylvain +2 more
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Research on Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Extracting Transform
Jixie chuandong, 2021 Rolling bearings are important components of large machinery and play a very important role. When the bearing fails， if not repaired or replaced them in time， it will seriously affect the life of the equipment.
Qi Liu, Yanxue Wang
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Application of Local Histogram Clipping Equalization Image Enhancement in Bearing Fault Diagnosis
IEEE Access, 2022 Aiming at the problem that the time-frequency image of bearing fault characteristics is relatively weak and difficult to identify. This paper presents a time-frequency analysis method of local maximum synchrosqueezing transform based on image enhancement.
Zhiqiang Zeng +3 more
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Fuzzy determination of informative frequency band for bearing fault detection [PDF]
, 2016 Detecting early faults in rolling element bearings is a crucial measure for the health maintenance of rotating machinery. As faulty features of bearings are usually demodulated into a high-frequency band, determining the informative frequency band (IFB ...
Abonyi +28 more
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IET Microwaves, Antennas & Propagation, 2021 The micro‐Doppler (m‐D) effect depends on the rotation of rotor blades in addition to the translation of the platform. Thus it is a characteristic for identifying small unmanned aerial vehicles (UAVs). However, compared with the Doppler signal induced by
Yichao Zhao, Yi Su
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