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Multicomponent signal denoising with synchrosqueezing
2012 IEEE Statistical Signal Processing Workshop (SSP), 2012 In this paper, we develop a new technique based on the synchrosqueezing method to denoise multicomponent signals. The approach proposed is based on a two step strategy: a mode detection step followed by a reconstruction one. The emphasis is put on the robustness of the detection step in a noisy context, a key issue in the implementation of the method ...
Sylvain Meignen +2 more
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Adaptive order synchrosqueezing transform
Signal ProcessingNon-stationary signals are characterized by time-varying amplitudes and frequencies. Tracking them is important for studying the dynamic systems that generate the signals, the synchrosqueezing transform (SST) being a versatile and widely used tool for such a task.
Marcelo Alejandro Colominas +1 more
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Theoretical analysis of time-reassigned synchrosqueezing wavelet transform
Applied Mathematics Letters, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenting Li +3 more
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Instantaneous frequency estimation based on synchrosqueezing wavelet transform
Signal Processing, 2017The instantaneous frequency-embedded continuous wavelet transform (IFE-CWT) is introduced and its properties are studied.Based on IFE-CWT, the instantaneous frequency-embedded synchrosqueezing transform (IFE-SST) is introduced.IFE-SST can preserve the IF of a monocomponent signal. To estimate IF of a component of a multicomponent signal, IFE-SST uses a
Qingtang Jiang, Bruce W Suter
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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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Synchrosqueezing Matching Pursuit Time–Frequency Analysis
IEEE Geoscience and Remote Sensing Letters, 2021Time–frequency analysis of the nonstationary signals is one of the hot researches in geophysics, environmental science, geology, and other fields. Matching pursuit (MP) has been widely used to reveal the characteristics in time–frequency domain, which helps to study the changes and differences of subtle geological structures.
Lu Xu +3 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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