Instantaneous Frequency Estimation Based on Reassignment Operators and Linear Chirp Points Detection

被引:2
作者
Colominas, Marcelo A. [1 ,2 ]
Meignen, Sylvain [3 ]
机构
[1] Consejo Nacl Invest Cient & Tecn, Inst Res & Dev Bioengn & Bioinformat IBB, RA-1900 Buenos Aires, Argentina
[2] UNER, Fac Ingn, E3101, Oro Verde, Argentina
[3] Univ Grenoble Alpes, Jean Kuntzmann Lab, F-38401 Grenoble, France
关键词
Chirp; Estimation; Signal to noise ratio; Polynomials; Splines (mathematics); Spectrogram; Frequency estimation; Vectors; Time-frequency analysis; Signal resolution; AM/FM multi-component signal; spectrogram ridges; spline approximation; synchrosqueezing techniques; time-frequency; SYNCHROSQUEEZING TRANSFORM; WAVELET; SIGNALS;
D O I
10.1109/LSP.2024.3501272
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper aims at building a new instantaneous frequency (IF) estimator of the modes making up non-stationary multi-component signals, using reassignment operators used in Fourier-based synchrosqueezing transforms (FSSTs) and linear chirp points detection. Reassignment operators provide with different IF estimates, depending on the assumption made on the local polynomial order of the phase of the studied mode. In practice, it is difficult to estimate locally which order fits the best, and to choose too high an order, typically larger than two, when not necessary results in both an inaccurate estimation and an increased sensitivity to noise. To circumvent this, we propose to localize linear chirp points in modes to find out where second order phase approximation is sufficient for the estimation, and then build a new IF estimate based on a weighted spline approximation based on these points. Numerical results show the improvement brought by the proposed approach in noisy situations over classical IF estimators used in FSSTs.
引用
收藏
页码:106 / 110
页数:5
相关论文
共 17 条
[1]   Theoretical analysis of the second-order synchrosqueezing transform [J].
Behera, Ratikanta ;
Meignen, Sylvain ;
Oberlin, Thomas .
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2018, 45 (02) :379-404
[2]   Multiridge detection and time-frequency reconstruction [J].
Carmona, RA ;
Hwang, WL ;
Torrésani, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (02) :480-492
[3]   Characterization of signals by the ridges of their wavelet transforms [J].
Carmona, RA ;
Hwang, WL ;
Torresani, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (10) :2586-2590
[4]   Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool [J].
Daubechies, Ingrid ;
Lu, Jianfeng ;
Wu, Hau-Tieng .
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2011, 30 (02) :243-261
[5]  
DaubechiesI MaesS, 1996, ALDROUBIA UNSERMEDSW, P527
[6]  
DEBOOR C, 1978, PRACTICAL GUIDE SPLI
[7]   ASYMPTOTIC WAVELET AND GABOR ANALYSIS - EXTRACTION OF INSTANTANEOUS FREQUENCIES [J].
DELPRAT, N ;
ESCUDIE, B ;
GUILLEMAIN, P ;
KRONLANDMARTINET, R ;
TCHAMITCHIAN, P ;
TORRESANI, B .
IEEE TRANSACTIONS ON INFORMATION THEORY, 1992, 38 (02) :644-664
[8]   IDEAL SPATIAL ADAPTATION BY WAVELET SHRINKAGE [J].
DONOHO, DL ;
JOHNSTONE, IM .
BIOMETRIKA, 1994, 81 (03) :425-455
[9]  
Flandrin P., 1998, Time-frequency/time-scale analysis
[10]   Hankel determinants and orthogonal polynomials [J].
Junod, A .
EXPOSITIONES MATHEMATICAE, 2003, 21 (01) :63-74