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High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis—With an Application to Gravitational-Wave Signal [PDF]
IEEE Transactions on Signal Processing, 2017 This paper 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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An iterative approach for spectrogram reassignment of frequency modulated multicomponent signals
Mathematics and Computers in Simulation, 2020In this paper, an evolution law for the modulus of the Short Time Fourier Transform, referred as spectrogram, of a frequency modulated multicomponent signal is proposed.
Domenico Vitulano +2 more
exaly +2 more sources
Retrieval of the Modes of Multicomponent Signals From Downsampled Short-Time Fourier Transform
IEEE Transactions on Signal Processing, 2018 In this paper, we investigate the retrieval of the modes of multicomponent signals from their downsampled short-time Fourier transform. To this end, we first recall signal reconstruction techniques based on shifted downsampled short-time Fourier ...
Duong Hung Pham, Sylvain Meignen
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Multicomponent signal denoising with synchrosqueezing
2012 IEEE Statistical Signal Processing Workshop (SSP), 2012In 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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IEEE Transactions on Geoscience and Remote Sensing, 2021
In inverse synthetic aperture radar (ISAR) imaging for a uniformly moving rigid-body target, a finely focused ISAR image can be obtained by using the conventional range-Doppler algorithm. However, the ISAR image quality may significantly deteriorate when
Penghui Huang +5 more
semanticscholar +1 more source
In inverse synthetic aperture radar (ISAR) imaging for a uniformly moving rigid-body target, a finely focused ISAR image can be obtained by using the conventional range-Doppler algorithm. However, the ISAR image quality may significantly deteriorate when
Penghui Huang +5 more
semanticscholar +1 more source
Comodulation masking release for multicomponent signals
The Journal of the Acoustical Society of America, 1988Detection of signals composed of one, two, or three pure-tone components was examined in comodulated and noncomodulated masking noises. The masking noise was either a single 30-Hz-wide narrow band of noise, two narrow bands of noise, or three narrow bands of noise.
J W, Hall, J H, Grose, M P, Haggard
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IEEE Transactions on Signal Processing, 2019
The use of linear time–frequency (TF) representa-tions as instantaneous frequency (IF) estimators arises in various fundamental disciplines, mainly thanks to their simplicity and immunity against interfering cross-terms.
Yazan Abdoush, G. Pojani, G. Corazza
semanticscholar +1 more source
The use of linear time–frequency (TF) representa-tions as instantaneous frequency (IF) estimators arises in various fundamental disciplines, mainly thanks to their simplicity and immunity against interfering cross-terms.
Yazan Abdoush, G. Pojani, G. Corazza
semanticscholar +1 more source
Signal-Adaptive Decomposition of Multicomponent Signals
The Digital Signal Processing workshop, 2005Abstract In this paper we present a new method for adaptively decomposing a multicomponent signal into its components. This method is based on fitting an autoregressive (AR) model to the short-time spectra ofthe signal. The AR parameters represent the coefficients of the linear predictive (LP) polynomial. Theroots of this polynomial constitute a set of
K.T. Assaleh, R.J. Mammone
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