Time-Frequency Reassignment and Synchrosqueezing: An Overview
By François Auger, Patrick Flandrin, Yu-Ting Lin, S. Mclaughlin, Sylvain Meignen, Thomas Oberlin, Hau‐Tieng Wu. IEEE Signal Processing Magazine, 2013
546 citations recorded by the source corpus.
This article provides a general overview of time-frequency (T-F) reassignment and synchrosqueezing techniques applied to multicomponent signals, covering the theoretical background and applications. We explain how synchrosqueezing can be viewed as a special case of reassignment enabling mode reconstruction and place emphasis on the interest of using such T-F distributions throughout with illustrative examples.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/2ba42c1bc9c803e40c0c7e1c7901d8dface74998
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In Computer Vision and Pattern Recognition
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In Control and Systems Engineering
- Gang Yu
- Sylvain Meignen
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In Signal Processing
Citations in the corpus
- High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis—With an Application to Gravitational-Wave Signal (2017, methodology): “For that purpose, a commonly used technique is based on ridge extraction assuming T g,γ f and K are known [7], [16].”
- Theoretical analysis of the second-order synchrosqueezing transform (2016, methodology): “To better take into account the frequency modulation, in the FSST context, a first approach based on the definition of a demodulation operator was proposed in [13], while a new synchrosqueezing operator based on a new chirp rate estimate was defined in [16, 2].”
- Multisynchrosqueezing Transform (2019, methodology): “If we substitute Ts[2](t, η) into Ts[3](t, η), the MSST (N = 3) can be derived as follows:”
- Synchroextracting Transform (2017, methodology): “Recently, some advanced postprocessing methods have been proposed, such as the reassignment method (RS) [4], [5], synchrosqueezing transform (SST)”
- Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations (2015, methodology): “This major result inspired new developments of synchrosqueezing or reassignment methods, and more generally of local TF analysis and synthesis techniques [5]–[7].”