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Cited by 578

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities

Open access
Guo, Tiantian, Zhang, Tongpo, Lim, Enggee, Lopez-Benitez, Miguel, Ma, Fei, Yu, Limin·2022·IEEE Access

Abstract

As a general and rigid mathematical tool, wavelet theory has found many applications and is constantly developing. This article reviews the development history of wavelet theory, from the construction method to the discussion of wavelet properties. Then it focuses on the design and expansion of wavelet transform. The main models and algorithms of wavelet transform are discussed. The construction of rational wavelet transform (RWT) is provided by examples emphasizing the advantages of RWT over traditional wavelet transform through a review of the literature. The combination of wavelet theory and neural networks is one of the key points of the review. The review covers the evolution of Wavelet Neural Network (WNN), the system architecture and algorithm implementation. The review of the literature indicates the advantages and a clear trend of fast development inWNNthat can be combined with existing neural network algorithms. This article also introduces the categories of wavelet-based applications. The advantages of wavelet analysis are summarized in terms of application scenarios with a comparison of results. Through the review, new research challenges and gaps have been clarified, which will serve as a guide for potential wavelet-based applications and new system designs.

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Metadata

Authors
Guo, T., Zhang, T., Lim, E., Lopez-Benitez, M., Ma, F., & Yu, L.
Venue
IEEE Access
Published
2022
Volume
10
Pages
58869-58903
ISSN
2169-3536 (ISSN-L)
OpenAlex
W4285065952
Cited by
578
References
71
FWCI
145.60
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities. https://app.cochat.ai/papers/10.1109/access.2022.3179517
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Guo, T., Zhang, T., Lim, E., Lopez-Benitez, M., Ma, F., & Yu, L. (2022). A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities. IEEE Access. https://doi.org/10.1109/access.2022.3179517

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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