Fractional synchrosqueezing transform for enhanced multicomponent signal separation [PDF]
Scientific ReportsThe precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of ...
Yangyang Li, Dzati Athiar Ramli
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Improving the Robustness of Time Difference of Arrival Estimation Based on the Energy Center of Gravity Rearrangement [PDF]
Sensors, 2023 An accurate estimation of the time difference of arrival (TDOA) is crucial in localization, communication, and navigation. However, a low signal-to-noise ratio (SNR) can decrease the reliability of the TDOA estimation result.
Peng Zhang +3 more
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Local maximum synchrosqueezes form scaling-basis chirplet transform [PDF]
PLoS ONE, 2022 In recent years, time-frequency analysis (TFA) methods have received widespread attention and undergone rapid development. However, traditional TFA methods cannot achieve the desired effect when dealing with nonstationary signals.
Yating Hou +3 more
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K-Complex Detection Based on Synchrosqueezing Transform [PDF]
AUT Journal of Electrical Engineering, 2017 K-complex is an underlying pattern in the sleep EEG. Due to the role of sleep studies inneurophysiologic and cognitive disorders diagnosis, reliable methods for analysis and detection of this patternare of great importance.
Z. Ghanbari, M. H. Moradi
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An Improved Synchrosqueezing S-Transform and Its Application in a GPR Detection Task [PDF]
SensorsThe S-transform is a fundamental time–frequency (T-F) domain analysis method in ground penetrating radar (GPR) data processing and can be used for identifying targets, denoising, extracting thin layers, and high-resolution imaging.
Hongqiang Xiong +3 more
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Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform. [PDF]
PLoS ONE, 2016 We apply the recently developed adaptive non-harmonic model based on the wave-shape function, as well as the time-frequency analysis tool called synchrosqueezing transform (SST) to model and analyze oscillatory physiological signals.
Hau-Tieng Wu +6 more
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Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation
Frontiers in Applied Mathematics and Statistics, 2022 The synchrosqueezing transform (SST) and its variants have been developed recently as an alternative to the empirical mode decomposition scheme to model a non-stationary signal as a superposition of amplitude- and frequency-modulated Fourier-like ...
Qingtang Jiang +3 more
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Signal Processing, 2022 Abstract This is a comment on the paper titled “Synchroextracting transform: The theory analysis and comparisons with the synchrosqueezing transform”. The theoretical analysis of reconstruction error of synchroextracting transform (SET) method is given whereas the comparison of reconstruction error between SET and synchrosqueezing transform (SST) is ...
Haoran Dong
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Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis [PDF]
SensorsThis paper introduces a novel geometry-based synchrosqueezing S-transform (GSSST) for advanced gearbox fault diagnosis, designed to enhance diagnostic precision in both planetary and parallel gearboxes.
Xinping Zhu +3 more
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STFT-based multisynchrosqueezing transform using a second-order signal model for seismic data analysis [PDF]
Scientific ReportsSince time-frequency analysis (TFA) technique can reveal the local properties of seismic signals, it has been widely applied in seismic data analysis.
Bing Pingping +4 more
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