A novel Synchrosqueezing-based algorithm provides a robust method for recovering instantaneous frequencies from nonuniformly sampled signals, with demonstrated utility in electrocardiography.
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.
Thakur et al. (Sat,) studied this question.