Skip to main content
Journal cover image

Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis

Publication ,  Journal Article
Sheu, YL; Hsu, LY; Chou, PT; Wu, HT
Published in: International Journal of Data Science and Analytics
June 1, 2017

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

International Journal of Data Science and Analytics

DOI

EISSN

2364-4168

ISSN

2364-415X

Publication Date

June 1, 2017

Volume

3

Issue

4

Start / End Page

231 / 245

Related Subject Headings

  • 4605 Data management and data science
  • 0801 Artificial Intelligence and Image Processing
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Sheu, Y. L., Hsu, L. Y., Chou, P. T., & Wu, H. T. (2017). Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis. International Journal of Data Science and Analytics, 3(4), 231–245. https://doi.org/10.1007/s41060-017-0053-2
Sheu, Y. L., L. Y. Hsu, P. T. Chou, and H. T. Wu. “Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis.” International Journal of Data Science and Analytics 3, no. 4 (June 1, 2017): 231–45. https://doi.org/10.1007/s41060-017-0053-2.
Sheu YL, Hsu LY, Chou PT, Wu HT. Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis. International Journal of Data Science and Analytics. 2017 Jun 1;3(4):231–45.
Sheu, Y. L., et al. “Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis.” International Journal of Data Science and Analytics, vol. 3, no. 4, June 2017, pp. 231–45. Scopus, doi:10.1007/s41060-017-0053-2.
Sheu YL, Hsu LY, Chou PT, Wu HT. Entropy-based time-varying window width selection for nonlinear-type time–frequency analysis. International Journal of Data Science and Analytics. 2017 Jun 1;3(4):231–245.
Journal cover image

Published In

International Journal of Data Science and Analytics

DOI

EISSN

2364-4168

ISSN

2364-415X

Publication Date

June 1, 2017

Volume

3

Issue

4

Start / End Page

231 / 245

Related Subject Headings

  • 4605 Data management and data science
  • 0801 Artificial Intelligence and Image Processing