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Cited by 508

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Generalized Morse Wavelets as a Superfamily of Analytic Wavelets

Open access
Lilly, J. M., Olhede, S. C.·2012·IEEE Transactions on Signal Processing

Abstract

The generalized Morse wavelets are shown to constitute a superfamily that essentially encompasses all other commonly used analytic wavelets, subsuming eight apparently distinct types of analysis filters into a single common form. This superfamily of analytic wavelets provides a framework for systematically investigating wavelet suitability for various applications. In addition to a parameter controlling the time-domain duration or Fourier-domain bandwidth, the wavelet shape with fixed bandwidth may be modified by varying a second parameter, called γ. For integer values of γ, the most symmetric, most nearly Gaussian, and generally most time-frequency concentrated member of the superfamily is found to occur for γ = 3. These wavelets, known as “Airy wavelets,” capture the essential idea of popular Morlet wavelet, while avoiding its deficiencies. They may be recommended as an ideal starting point for general purpose use.

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Metadata

Authors
Lilly, J. M., & Olhede, S. C.
Venue
IEEE Transactions on Signal Processing
Published
2012-11
Volume
60
Issue
11
Pages
6036-6041
ISSN
  • 1053-587X (ISSN-L)
  • 1941-0476
OpenAlex
W2166385084
Cited by
508
References
12
FWCI
8.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Generalized Morse Wavelets as a Superfamily of Analytic Wavelets. https://app.cochat.ai/papers/10.1109/tsp.2012.2210890
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Lilly, J. M., & Olhede, S. C. (2012). Generalized Morse Wavelets as a Superfamily of Analytic Wavelets. IEEE Transactions on Signal Processing. https://doi.org/10.1109/tsp.2012.2210890

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.