Article
Engineering, Electrical & Electronic
Sylvain Meignen, Duong-Hung Pham, Marcelo A. Colominas
Summary: This paper compares various time frequency approaches for retrieving the modes of multicomponent signals, focusing on the performance of DSST and STFT in this regard, and introduces a variant of DSST with reduced mode-mixing.
Article
Engineering, Electrical & Electronic
Ran Zhang, Zimeng Wang, Yu Tan, Xincheng Yang, Shenghui Yang
Summary: The local maximum synchrosqueezing chirplet transform (LMSSCT) is a effective method for characterizing signals with strong frequency-modulation. This paper proposes a method that applies the local maximum synchrosqueezing operator in the frequency-chirp-rate (F-C) plane to overcome the limitation imposed by the well-separation condition and generate energy concentrated representations of signal components.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Nils Laurent, Sylvain Meignen
Summary: In this study, a novel approach to ridge detection (RRP-RD) based on the gathering of ridge portions in the time-frequency plane is developed, which has been proven to be more robust to noise than existing methods and shown to benefit mode retrieval.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Gang Yu, Tian Ran Lin
Summary: A new high-resolution time-frequency analysis method STET is proposed for machine fault diagnosis in this paper. The limitations of two post-processing techniques are discussed, and STET is introduced to overcome these limitations, with results confirming its effectiveness in analyzing noise contaminated signals and bearing defect signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Yongchun Miao
Summary: This paper proposes a novel automatic instantaneous frequency (IF) estimator for multicomponent signals with a variable number of components in noise. An extended synchrosqueezing transform is developed to achieve maximum energy concentration along the IF by combining fractional spectrograms. The IF estimation is then achieved using a novel automatic ridge extraction (AREA) algorithm from the time-frequency representation.
Article
Engineering, Electrical & Electronic
Gupteswar Sahu, Sonali Dash
Summary: Time-frequency analysis (TFA) is widely used in signal processing for detecting time-varying waveforms in power quality signals, but is limited by Heisenberg uncertainty principle. This paper introduces a new TFA method called multisynchrosqueezing transform (MSST) for detecting nonstationary waveforms in PQ disturbance signals. MSST shows higher time-frequency resolution compared to other contemporary methods.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Deyun Wei, Jinshun Shen
Summary: In this paper, the generalized synchrosqueezing fractional S-transform (GSSFrST) is proposed to improve the low time-frequency resolution of the synchrosqueezing transform (SST) faced with strongly frequency-modulated signals. Furthermore, the multi-spectra synchrosqueezing transform (MSST) based on GSSFrST and Hough transform is proposed to enhance the TF resolution. Experimental results demonstrate that MSST is a promising tool for cross chirp signal separation and instantaneous frequency estimation.
Article
Engineering, Multidisciplinary
Yong Lv, Site Lv, Rui Yuan, Hewenxuan Li
Summary: The paper introduces a new time-frequency analysis method called Longitudinal Synchrosqueezing Transform (LSST), which combines the advantages of Reassignment Method (RM) and Fourier-based Synchrosqueezing Transform (FSST) to achieve a compact time-frequency representation (TFR). To address energy smear in the TFR generated by LSST for signals with strong frequency modulation, the Longitudinal Synchroextracting Transform (LSET) is proposed. LSET estimates signal's instantaneous frequency using a second-order approximation for accurate characterization of fast time-varying features and improved robustness against noise.
Article
Engineering, Electrical & Electronic
Lin Li, Ningning Han, Qingtang Jiang, Charles K. Chui
Summary: This paper discusses mode retrieval of multicomponent signals using the chirplet transform and introduces a CT-based signal separation scheme. It also proposes a matched-filter and an innovative signal reconstruction algorithm suitable for signals with crossing instantaneous frequencies. Experimental results show the proposed method is more accurate and consistent compared to other approaches.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Engineering, Civil
Lian Lu, Wei-Xin Ren
Summary: The paper introduces the fractional Fourier transform and proposes the synchrosqueezing fractional Fourier transform to improve the accuracy of instantaneous frequency identification. The method is validated through experiments and numerical examples.
Article
Computer Science, Artificial Intelligence
Vittoria Bruni, Domenico Vitulano, Silvia Marconi
Summary: This paper introduces a novel approach, SIID-CNN, based on machine learning for the automatic detection of interference regions in spectrogram images. Experimental results show that this method achieves good classification rates for a wide class of non-stationary signals.
IMAGE AND VISION COMPUTING
(2023)
Article
Mathematics, Applied
Haiyan Cai, Qingtang Jiang, Lin Li, Bruce W. Suter
Summary: This paper studies the theoretical analysis of the adaptive FSST and provides error bounds for the instantaneous frequency estimation and component recovery with both the adaptive FSST and the second-order adaptive FSST.
ANALYSIS AND APPLICATIONS
(2021)
Article
Geosciences, Multidisciplinary
Chen Yu, Shuyan Wang, Lifang Cheng
Summary: This study proposes a high-resolution processing technique for seismic data based on the improved synchrosqueezing transform (SST), which adjusts the phase to improve time-frequency resolution and shows good prospects for application in gas reservoir detection and identification.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Automation & Control Systems
Changsong Li
Summary: The synchrosqueezing transform (SST) is a novel time-frequency analysis method that has gained increasing attention in the signal processing field. It provides higher time-frequency resolution and more precise mode decomposition compared to classical methods, benefiting various engineering applications. However, SST results may smear heavily when dealing with strongly frequency-modulated (FM) signals. To address this issue, we propose a new method that combines the advantages of SST and reassignment (RS) methods.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Nils Laurent, Marcelo A. Colominas, Sylvain Meignen
Summary: This paper investigates the estimation of local chirp rate in noisy multicomponent signals. It proposes a novel technique to improve the accuracy of a specific type of local chirp rate estimator used in the second order synchrosqueezing transform. The improved estimator is shown to be useful in mode reconstruction and voice signal analysis.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Marcelo A. Colominas, Sylvain Meignen, Duong-Hung Pham
IEEE SIGNAL PROCESSING LETTERS
(2019)
Review
Astronomy & Astrophysics
Sylvain Meignen, Thomas Oberlin, Duong-Hung Pham
COMPTES RENDUS PHYSIQUE
(2019)
Article
Engineering, Electrical & Electronic
Sylvain Meignen, Quentin Legros, Yoann Altmann, Steve McLaughlin
Article
Engineering, Electrical & Electronic
Sylvain Meignen, Duong-Hung Pham, Marcelo A. Colominas
Summary: This paper compares various time frequency approaches for retrieving the modes of multicomponent signals, focusing on the performance of DSST and STFT in this regard, and introduces a variant of DSST with reduced mode-mixing.
Article
Acoustics
Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura, Jean-Pierre Remenieras, Denis Kouame
Summary: This article introduces a blind deconvolution method for estimating both the blood component and the point spread function from Doppler data to improve the accuracy of blood flow estimation. Numerical experiments demonstrate the effectiveness of the proposed approach compared to methods based on experimentally measured PSF and other state-of-the-art approaches.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Engineering, Electrical & Electronic
Sylvain Meignen, Neha Singh
Summary: This paper investigates the behavior of reassignment operators in synchrosqueezing transforms applied to multicomponent signals. The study shows that the quality of the original instantaneous frequency estimators deteriorates significantly when the modes interfere in the time-frequency plane or when there is noise present. Based on this analysis, a novel instantaneous frequency estimator that uses specific points on the ridges of synchrosqueezing transforms is proposed, and its performance is compared with state-of-the-art techniques based on the same type of time-frequency representations.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Nils Laurent, Marcelo A. Colominas, Sylvain Meignen
Summary: This paper investigates the estimation of local chirp rate in noisy multicomponent signals. It proposes a novel technique to improve the accuracy of a specific type of local chirp rate estimator used in the second order synchrosqueezing transform. The improved estimator is shown to be useful in mode reconstruction and voice signal analysis.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2022)
Proceedings Paper
Acoustics
Nils Laurent, Sylvain Meignen, Julie Fontecave-Jallon, Bertrand Rivet
Summary: In this study, a novel algorithm using synchrosqueezed STFT for heart rate estimation is proposed, showing improvement compared to traditional STFT methods. Numerical simulations demonstrate the effectiveness of this approach.
29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021)
(2021)
Proceedings Paper
Acoustics
Neha Singh, Sylvain Meignen, Thomas Oberlin
Summary: This paper discusses the problem of single channel blind source separation and proposes a solution to replace the spectrogram with the modulus of the synchrosqueezing transform (SST). Two methods for reconstructing the sources are introduced, and experiments show that applying non-negative matrix factorization to SST leads to better source separation results. The two-step procedure using SST and STFT also outperforms the classical technique based on STFT only.
29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021)
(2021)
Article
Engineering, Electrical & Electronic
Nils Laurent, Sylvain Meignen
Summary: In this study, a novel approach to ridge detection (RRP-RD) based on the gathering of ridge portions in the time-frequency plane is developed, which has been proven to be more robust to noise than existing methods and shown to benefit mode retrieval.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Proceedings Paper
Acoustics
Sylvain Meignen, Marcelo Colominas, Duong-Hung Pham
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
(2020)
Article
Engineering, Electrical & Electronic
Nils Laurent, Sylvain Meignen
IEEE SIGNAL PROCESSING LETTERS
(2020)
Article
Engineering, Electrical & Electronic
Marcelo A. Colominas, Sylvain Meignen, Duong-Hung Pham
IEEE SIGNAL PROCESSING LETTERS
(2020)
Proceedings Paper
Acoustics
Duong-Hung Pham, Sylvain Meignen
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2018)
