Two robust approaches to multicomponent signal reconstruction from STFT ridges
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Wenting Li | Jinghuai Gao | Xiangxiang Zhu | Zhuosheng Zhang | Jinghuai Gao | Zhuosheng Zhang | Xiangxiang Zhu | Wenting Li
[1] Tieniu Tan,et al. Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Nelly Pustelnik,et al. Empirical Mode Decomposition revisited by multicomponent non smooth convex optimization 1 , 2014 .
[3] Mila Nikolova,et al. Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery , 2005, SIAM J. Sci. Comput..
[4] Kexiang Wei,et al. Time-Varying Frequency-Modulated Component Extraction Based on Parameterized Demodulation and Singular Value Decomposition , 2016, IEEE Transactions on Instrumentation and Measurement.
[5] T. Hou,et al. Data-driven time-frequency analysis , 2012, 1202.5621.
[6] C. Ioana,et al. Localization in Underwater Dispersive Channels Using the Time-Frequency-Phase Continuity of Signals , 2010, IEEE Transactions on Signal Processing.
[7] Yang Yang,et al. Intrinsic chirp component decomposition by using Fourier Series representation , 2017, Signal Process..
[8] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[9] Xiangxiang Zhu,et al. Improved self-paced learning framework for nonnegative matrix factorization , 2017, Pattern Recognit. Lett..
[10] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[11] Bruno Torrésani,et al. Multiridge detection and time-frequency reconstruction , 1999, IEEE Trans. Signal Process..
[12] Yang Yang,et al. Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model , 2018 .
[13] Sylvain Meignen,et al. On Demodulation, Ridge Detection, and Synchrosqueezing for Multicomponent Signals , 2017, IEEE Transactions on Signal Processing.
[14] Yoonseob Lim,et al. An Approach to Time-Frequency Analysis With Ridges of the Continuous Chirplet Transform , 2015, IEEE Transactions on Signal Processing.
[15] Zuoqiang Shi,et al. Sparse time-frequency decomposition based on dictionary adaptation , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[16] I. Daubechies,et al. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool , 2011 .
[17] Ljubisa Stankovic,et al. Inverse radon transform–based micro-doppler analysis from a reduced set of observations , 2015, IEEE Transactions on Aerospace and Electronic Systems.
[18] Weifeng Liu,et al. Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.
[19] Yaguo Lei,et al. Fast-varying AM-FM components extraction based on an adaptive STFT , 2012, Digit. Signal Process..
[20] Gang Yu,et al. Synchroextracting Transform , 2017, IEEE Transactions on Industrial Electronics.
[21] Dominique Zosso,et al. Variational Mode Decomposition , 2014, IEEE Transactions on Signal Processing.
[22] Jérôme Gilles,et al. Empirical Wavelet Transform , 2013, IEEE Transactions on Signal Processing.
[23] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[24] Yang Yang,et al. Component Extraction for Non-Stationary Multi-Component Signal Using Parameterized De-chirping and Band-Pass Filter , 2015, IEEE Signal Processing Letters.
[25] Guang Meng,et al. Nonlinear Chirp Mode Decomposition: A Variational Method , 2017, IEEE Transactions on Signal Processing.
[26] Richard Kronland-Martinet,et al. Asymptotic wavelet and Gabor analysis: Extraction of instantaneous frequencies , 1992, IEEE Trans. Inf. Theory.
[27] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[28] Raymond H. Chan,et al. The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration , 2007, IEEE Transactions on Image Processing.
[29] Yi Qin,et al. Research on iterated Hilbert transform and its application in mechanical fault diagnosis , 2008 .
[30] Bruno Torrésani,et al. Characterization of signals by the ridges of their wavelet transforms , 1997, IEEE Trans. Signal Process..
[31] Yi Qin,et al. Adaptive signal decomposition based on wavelet ridge and its application , 2016, Signal Process..
[32] Åke Björck,et al. Numerical methods for least square problems , 1996 .
[33] Yi Qin,et al. Multicomponent decomposition by wavelet modulus maxima and synchronous detection , 2017 .
[34] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .
[35] Guang Meng,et al. Separation of Overlapped Non-Stationary Signals by Ridge Path Regrouping and Intrinsic Chirp Component Decomposition , 2017, IEEE Sensors Journal.
[36] Feng Zhou,et al. Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition , 2016, Signal Process..
[37] Jing Lin,et al. Ridges reconstruction based on inverse wavelet transform , 2006 .