The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Improving the readability of time-frequency and time-scale representations by the reassignment method
Abstract
In this paper, the use of the reassignment method, first applied by Kodera, Gendrin, and de Villedary (1976) to the spectrogram, is generalized to any bilinear time-frequency or time-scale distribution. This method creates a modified version of a representation by moving its values away from where they are computed, so as to produce a better localization of the signal components. We first propose a new formulation of this method, followed by a thorough theoretical study of its characteristics. Its practical use for a large variety of known time-frequency and time-scale distributions is then addressed. Finally, some experimental results are reported to demonstrate the performance of this method.>
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Cites
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Cited by
Feng, Z., Liang, M., & Chu, F. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.01.017 · Cited by 998
Peng, Z. K., Tse, P. W., & Chu, F. L. (2005) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2004.01.006 · Cited by 840
Time-Frequency Reassignment and Synchrosqueezing: An Overview
Auger, F., Flandrin, P., Lin, Y.-T., McLaughlin, S., Meignen, S., Oberlin, T., & Wu, H.-T. (2013) · IEEE Signal Processing Magazine · doi:10.1109/msp.2013.2265316 · Cited by 630
Self-citationOberlin, T., Meignen, S., & Perrier, V. (2015) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2015.2391077 · Cited by 531
Thakur, G., Brevdo, E., Fučkar, N. S., & Wu, H.-T. (2013) · Signal Processing · doi:10.1016/j.sigpro.2012.11.029 · Cited by 526
Metadata
- Authors
- Auger, F., & Flandrin, P.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1995-05
- Volume
- 43
- Issue
- 5
- Pages
- 1068-1089
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2140147143
- Cited by
- 1,500
- References
- 22
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
