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One or two frequencies? the synchrosqueezing answers

Publication ,  Journal Article
Wu, HT; Flandrin, P; Daubechies, I
Published in: Advances in Adaptive Data Analysis
April 1, 2011

The synchrosqueezed transform was proposed recently in [Daubechies et al. (2009)] as an alternative to the empirical mode decomposition (EMD) [Huang et al. (1998)], to decompose composite signals into a sum of "modes" that each have well-defined instantaneous frequencies. This paper presents, for synchrosqueezing, a study similar to that in [Rilling and Flandrin (2008)] for EMD, of how two signals with close frequencies are recognized and represented as such. © 2011 World Scientific Publishing Company.

Duke Scholars

Published In

Advances in Adaptive Data Analysis

DOI

EISSN

1793-7175

ISSN

1793-5369

Publication Date

April 1, 2011

Volume

3

Issue

1-2

Start / End Page

29 / 39

Related Subject Headings

  • 4605 Data management and data science
  • 08 Information and Computing Sciences
 

Citation

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Wu, H. T., Flandrin, P., & Daubechies, I. (2011). One or two frequencies? the synchrosqueezing answers. Advances in Adaptive Data Analysis, 3(1–2), 29–39. https://doi.org/10.1142/S179353691100074X
Wu, H. T., P. Flandrin, and I. Daubechies. “One or two frequencies? the synchrosqueezing answers.” Advances in Adaptive Data Analysis 3, no. 1–2 (April 1, 2011): 29–39. https://doi.org/10.1142/S179353691100074X.
Wu HT, Flandrin P, Daubechies I. One or two frequencies? the synchrosqueezing answers. Advances in Adaptive Data Analysis. 2011 Apr 1;3(1–2):29–39.
Wu, H. T., et al. “One or two frequencies? the synchrosqueezing answers.” Advances in Adaptive Data Analysis, vol. 3, no. 1–2, Apr. 2011, pp. 29–39. Scopus, doi:10.1142/S179353691100074X.
Wu HT, Flandrin P, Daubechies I. One or two frequencies? the synchrosqueezing answers. Advances in Adaptive Data Analysis. 2011 Apr 1;3(1–2):29–39.
Journal cover image

Published In

Advances in Adaptive Data Analysis

DOI

EISSN

1793-7175

ISSN

1793-5369

Publication Date

April 1, 2011

Volume

3

Issue

1-2

Start / End Page

29 / 39

Related Subject Headings

  • 4605 Data management and data science
  • 08 Information and Computing Sciences