SYNCHROSQUEEZING-BASED RECOVERY OF INSTANTANEOUS FREQUENCY FROM NONUNIFORM SAMPLES

被引:295
作者
Thakur, Gaurav [1 ]
Wu, Hau-Tieng [2 ]
机构
[1] Princeton Univ, Program Appl & Computat Math, Princeton, NJ 08544 USA
[2] Princeton Univ, Dept Math, Princeton, NJ 08544 USA
关键词
instantaneous frequency; Synchrosqueezing; nonuniform sampling; AM-FM signals; electrocardiography;
D O I
10.1137/100798818
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We propose a new approach for studying the notion of the instantaneous frequency of a signal. We build on ideas from the Synchrosqueezing theory of Daubechies, Lu, and Wu [Appl. Comput. Harmonic Anal., 30 (2010), pp. 243-261] and consider a variant of Synchrosqueezing, based on the short-time Fourier transform, to precisely define the instantaneous frequencies of a multicomponent AM-FM signal. We describe an algorithm to recover these instantaneous frequencies from the uniform or nonuniform samples of the signal and show that our method is robust to noise. We also consider an alternative approach based on the conventional, Hilbert transform-based notion of instantaneous frequency to compare to our new method. We use these methods on several test cases and apply our results to a signal analysis problem in electrocardiography.
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页码:2078 / 2095
页数:18
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