Results 1 to 10 of about 1,401 (153)

Modeling the Pulse Signal by Wave-Shape Function and Analyzing by Synchrosqueezing Transform. [PDF]

open access: yesPLoS 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
doaj   +7 more sources

Improving the Robustness of Time Difference of Arrival Estimation Based on the Energy Center of Gravity Rearrangement [PDF]

open access: yesSensors, 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
doaj   +2 more sources

Local maximum synchrosqueezes form scaling-basis chirplet transform [PDF]

open access: yesPLoS 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
doaj   +3 more sources

An Improved Synchrosqueezing S-Transform and Its Application in a GPR Detection Task [PDF]

open access: yesSensors
The 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
doaj   +2 more sources

Fractional synchrosqueezing transform for enhanced multicomponent signal separation [PDF]

open access: yesScientific Reports
The 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
doaj   +2 more sources

A new time-frequency method to reveal quantum dynamics of atomic hydrogen in intense laser pulses: Synchrosqueezing transform [PDF]

open access: yesAIP Advances, 2014
This study introduces a new adaptive time-frequency (TF) analysis technique, the synchrosqueezing transform (SST), to explore the dynamics of a laser-driven hydrogen atom at an ab initio level, upon which we have demonstrated its versatility as a new ...
Yae-lin Sheu   +4 more
doaj   +4 more sources

Geometry-Based Synchrosqueezing S-Transform with Shifted Instantaneous Frequency Estimator Applied to Gearbox Fault Diagnosis [PDF]

open access: yesSensors
This 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
doaj   +2 more sources

STFT-based multisynchrosqueezing transform using a second-order signal model for seismic data analysis [PDF]

open access: yesScientific Reports
Since 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
doaj   +2 more sources

Synchrosqueezing Transform Based on Frequency-Domain Gaussian-Modulated Linear Chirp Model for Seismic Time–Frequency Analysis

open access: yesMathematics, 2023
The synchrosqueezing transform (SST) has attracted much attention as a post-processing technique since it was proposed. In recent years, improvements to SST have been made.
Pingping Bing   +6 more
doaj   +1 more source

An Enhanced Version of Second-Order Synchrosqueezing Transform Combined with Time-Frequency Image Texture Features to Detect Faults in Bearings

open access: yesShock and Vibration, 2021
Signals with multiple components and fast-varying instantaneous frequencies reduce the readability of the time-frequency representations obtained by traditional synchrosqueezing transforms due to time-frequency blurring.
Xiaohan Cheng   +4 more
doaj   +1 more source

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