@article {Sheu2017,
	title = {Entropy-based time-varying window width selection for nonlinear-type time-frequency analysis},
	journal = {Int. J. Data Sci. Anal. (JDSA)},
	volume = {3},
	number = {4},
	year = {2017},
	note = {<p>n/a</p>
},
	pages = {231{\textendash}245},
	abstract = {<p>We propose a time-varying optimal window width (TVOWW) and an adaptive optimal window width selection schemes to optimize the performance of several nonlinear-type time-frequency analyses, including the reassignment method and its variations. A window rendering the most concentrated distribution in the time-frequency representation is regarded as the optimal window. The TVOWW selection scheme is particularly useful for signals that comprise fast-varying instantaneous frequencies and small spectral gaps. To demonstrate the efficacy of the method, in addition to analyzing synthetic signals, we study an atomic time-varying dipole moment driven by two-color mid-infrared laser fields in attosecond physics and near-threshold harmonics of a hydrogen atom in the strong laser field.</p>
},
	issn = {2364-4168},
	url = {http://dx.doi.org/10.1007/s41060-017-0053-2},
	author = {Sheu, Yae-lin and Hsu, Liang-Yan and Chou, Pi-Tai and Wu, Hau-tieng*}
}
