Results 51 to 60 of about 1,586 (236)
FAST: An extension of the Wavelet Synchrosqueezed Transform [PDF]
, 2021 <p>Extracting frequency domain information from signals usually requires conversion from the time domain using methods such as Fourier, wavelet, or Hilbert transforms. Each method of transformation is subject to a theoretical limit on resolution due to Heisenberg’s uncertainty principle.
Samit Chakrabarty +2 more
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Analysis of adaptive synchrosqueezing transform with a time-varying parameter [PDF]
Advances in Computational Mathematics, 2020 The synchrosqueezing transform (SST) was developed recently to separate the components of non-stationary multicomponent signals. The continuous wavelet transform-based SST (WSST) reassigns the scale variable of the continuous wavelet transform of a signal to the frequency variable and sharpens the time-frequency representation.
Jian Lu 0002 +2 more
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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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工程科学学报, 2020 Planetary gearboxes have one or several planet gears rotating around the sun gear while revolving along their axle. This unique gear structure results in the simultaneous meshing of the planet gear with both sun and ring gears.
Zheng-wu ZHANG +2 more
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MachinesIn industrial settings, machinery components inevitably wear and degrade due to friction between moving parts. To address this, various maintenance strategies, including corrective, preventive, and predictive maintenance, are commonly employed.
Luca Radicioni +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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Engineering Reports, Volume 8, Issue 5, May 2026.Technical approach of the article. ABSTRACT This study focuses primarily on concrete curved girder‐type bridges, which are commonly used for urban roads and highways. Over the last two decades, practical experience in bridge engineering has shown that these bridges have unique mechanical and damage characteristics, unlike conventional straight bridges.
Sai Gong +4 more
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Emotion recognition classification in EEG signals using multivariate synchrosqueezing transform
, 2017 Electrophysiological data processing can take place both in time and in frequency domains as well as in the joint time-frequency domain. Short Time Fourier Transform and Wavelet Transform are commonly used time-frequency analysis methods. The limitations
Bulent Yilmaz +5 more
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Applied Sciences, 2021 Synchrosqueezing transform (SST) can effectively improve time-frequency precision and resolution by squeezing time-frequency spectra via instantaneous frequencies, and it has been applied in many diverse disciplines; however, the precision of estimated ...
Yong Li, Gulan Zhang
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Photoplethysmography for Measuring Cognitive Load in XR Environments: A Systematic Review
Advanced Sensor Research, Volume 5, Issue 3, March 2026.ABSTRACT Photoplethysmography (PPG) is a low‐cost, low‐power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self‐reports
Alya Alshehhi +2 more
wiley +1 more source