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Theoretical analysis of the second-order synchrosqueezing transform [PDF]
Applied and Computational Harmonic Analysis, 2018 International audienceIn this paper, we present a theoretical analysis of the synchrosqueezing transform adapted to multicomponent signals made of strongly frequency modulated modes, which was recently proposed in the short time Fourier transform ...
Ratikanta Behera +2 more
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Generalized Horizontal Synchrosqueezing Transform: Algorithm and Applications
IEEE Transactions on Industrial Electronics, 2021Time−frequency analysis (TFA) is regarded as an efficient technique to reveal the hidden characteristics of the oscillatory signal. At present, the traditional TFA methods always construct the signal model in the time domain and assume the instantaneous features of the modes to be continuous.
Xiaotong Tu +5 more
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IEEE Transactions on Signal Processing, 2017 International audienceThis study puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency.
Duong-Hung Pham, Sylvain Meignen
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Synchrosqueezing-Based Short-Time Fractional Fourier Transform
IEEE Transactions on Signal Processing, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhichun Zhao, Gang Li 0008
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Spectral Decomposition by Synchrosqueezing Transform
Proceedings, 2013The synchrosqueezing transform (SST) is a wavelet-based time-frequency reassignment method, which has a grounded mathematical foundation. It produces a well defined time-frequency representation allowing the identification of instantaneous frequencies to highlight individual components.
J. Han, R.H. Herrera, M. van der Baan
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Synchrosqueezing Transform Based Methodology for Radiometric Identification
2018 41st International Conference on Telecommunications and Signal Processing (TSP), 2018This paper describes the application of the SynchroSqueezing Transform (SST) to the problem of radiometric identification, which means that wireless devices can be identified and authenticated through their radio frequency emissions. Radiometric identification has been applied to enhance the security of wireless networks based on WiFi or cellular ...
Baldini, Gianmarco +2 more
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Estimation of phase synchrony using the synchrosqueezing transform
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014Phase synchronization has emerged as an important concept in quantifying interactions between dynamical systems. In this work a robust estimate of the phase synchrony between bivariate signals is presented. This is achieved by extending the recently introduced synchrosqueezing transform (SST), a method that belongs to the class of reassignment ...
Alireza Ahrabian, Danilo P. Mandic
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Demodulated Synchrosqueezing Transform
2018 Chinese Automation Congress (CAC), 2018Synchrosqueezing transform (SST) is an interesting time-frequency analysis tool that is able to provide high TF resolution and allow for signal reconstruction. It brings some new insights for understanding this non-stationary world. However, many recent studies show that, some inherent shortcomings are gradually recognized.
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Horizontal Synchrosqueezing Transform: Algorithm and Applications
IEEE Sensors Journal, 2020Advancements in the synchrosqueezing transform as a postprocessing time–frequency method have received considerable attention in the past few decades for the analysis of nonstationary signals. Many studies have focused on improving the accuracy of the estimated instantaneous frequency (IF). In some fields, the IF spectra of signals exhibit fast varying
Xiaotong Tu +4 more
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Application of the local maximum synchrosqueezing transform for seismic data
Digital Signal Processing, 2021Abstract Seismic signal analysis is the main step in data processing through the petroleum exploration via costly seismic investigations. Precision of target delineation by seismic data for exploratory drilling strongly depends on resolution of the seismic image. However, resolution of the seismic image is restricted by the band-limited nature of the
Arshad Mahdavi +3 more
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