Data-Driven Machine Fault Diagnosis of Multisensor Vibration Data Using Synchrosqueezed Transform and Time-Frequency Image Recognition with Convolutional Neural Network [PDF]
Dominik Łuczak
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Low strain pile testing based on synchrosqueezing wavelet transformation analysis [PDF]
, 2016 Low strain detection, an indirect and nondestructive testing method, is one of the main pile integrity testing methods. We propose low strain testing analysis based on a synchrosqueezing wavelet transformation (SST).
Juncai Xu, Qingwen Ren, Zhenzhong Shen
core
A dynamically coherent pattern of rhythms that matches between distant species across the evolutionary scale. [PDF]
Sci Rep, 2023 Kembro JM +6 more
europepmc +1 more source
Second-order Time-Reassigned Synchrosqueezing Transform: Application to Draupner Wave Analysis
, 2019 International audienceThis paper addresses the problem of efficiently jointly representing a non-stationary multicomponent signal in time and frequency.
Fourer, Dominique +3 more
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Fourier Synchrosqueezing Transform-ICA-EMD Framework Based EOG-Biometric Sustainable and Continuous Authentication via Voluntary Eye Blinking Activities. [PDF]
Biomimetics (Basel), 2023 Gorur K.
europepmc +1 more source
Fast and adaptive blind audio source separation using recursive Levenberg-Marquardt synchrosqueezing
, 2018 International audienceThis paper revisits the Degenerate Unmixing Estimation Technique (DUET) for blind audio separation of an arbitrary number of sources given two mixtures through a recursively computed and adaptive time-frequency representation ...
Fourer, Dominique, Peeters, Geoffroy
core
Refining the time-frequency characteristic of non-stationary signal for improving time-frequency representation under variable speeds. [PDF]
Sci Rep, 2023 Liu Y, Xiang H, Jiang Z, Xiang J.
europepmc +1 more source
Joint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions [PDF]
, 2018 Yue Hu +3 more
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Bridge Damage Identification Using Deep Neural Networks on Time-Frequency Signals Representation. [PDF]
Sensors (Basel), 2023 Santaniello P, Russo P.
europepmc +1 more source
Synchrosqueezing transforms: From low- to high-frequency modulations and perspectives [PDF]
, 2019 Sylvain Meignen +2 more
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