The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ON INSTANTANEOUS FREQUENCY
Abstract
Instantaneous frequency (IF) is necessary for understanding the detailed mechanisms for nonlinear and nonstationary processes. Historically, IF was computed from analytic signal (AS) through the Hilbert transform. This paper offers an overview of the difficulties involved in using AS, and two new methods to overcome the difficulties for computing IF. The first approach is to compute the quadrature (defined here as a simple 90° shift of phase angle) directly. The second approach is designated as the normalized Hilbert transform (NHT), which consists of applying the Hilbert transform to the empirically determined FM signals. Additionally, we have also introduced alternative methods to compute local frequency, the generalized zero-crossing (GZC), and the teager energy operator (TEO) methods. Through careful comparisons, we found that the NHT and direct quadrature gave the best overall performance. While the TEO method is the most localized, it is limited to data from linear processes, the GZC method is the most robust and accurate although limited to the mean frequency over a quarter wavelength of temporal resolution. With these results, we believe most of the problems associated with the IF determination are resolved, and a true time–frequency analysis is thus taking another step toward maturity.
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Cites
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Cited by
Huang, N. E., Shen, Z., Long, S. R., Wu, M. C., Shih, H. H., Zheng, Q., Yen, N.-C., Tung, C. C., & Liu, H. H. (1998) · Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.1998.0193 · Cited by 23,564
Self-citationCOMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
YEH, J.-R., SHIEH, J.-S., & HUANG, N. E. (2010) · Advances in Adaptive Data Analysis · doi:10.1142/s1793536910000422 · Cited by 1,510
Self-citationOn the time-varying trend in global-mean surface temperature
Wu, Z., Huang, N. E., Wallace, J. M., Smoliak, B. V., & Chen, X. (2011) · Climate Dynamics · doi:10.1007/s00382-011-1128-8 · Cited by 393
Self-citationSynchrosqueezing-Based Recovery of Instantaneous Frequency from Nonuniform Samples
Thakur, G., & Wu, H.-T. (2011) · SIAM Journal on Mathematical Analysis · doi:10.1137/100798818 · Cited by 388
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
Vidaurre, D., Hunt, L. T., Quinn, A. J., Hunt, B. A. E., Brookes, M. J., Nobre, A. C., & Woolrich, M. W. (2018) · Nature Communications · doi:10.1038/s41467-018-05316-z · Cited by 357
Metadata
- Authors
- HUANG, N. E., WU, Z., LONG, S. R., ARNOLD, K. C., CHEN, X., & BLANK, K.
- Venue
- Advances in Adaptive Data Analysis
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2009-04
- Volume
- 01
- Issue
- 02
- Pages
- 177-229
- ISSN
- 1793-7175 (ISSN-L)
- 1793-5369
- OpenAlex
- W2028497691
- Cited by
- 670
- References
- 1
- FWCI
- 47.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- HUANG, N. E., WU, Z., LONG, S. R., ARNOLD, K. C., CHEN, X., & BLANK, K. (2009). ON INSTANTANEOUS FREQUENCY. Advances in Adaptive Data Analysis. https://doi.org/10.1142/s1793536909000096
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