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
APA
Chicago
ICMJE
MLA
NLM
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.
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