The DOI matches its Crossref record.
Wavelet Transforms: Introduction to Theory and Applications
Abstract
Wavelet theory has been one of the most exciting developments in the past decade that brought together researchers from several different fields such as engineering, physics, and mathematics.
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Citations
Cited by
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Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Damage detection of structures by wavelet analysis
Kim, H., & Melhem, H. (2004) · Engineering Structures · doi:10.1016/j.engstruct.2003.10.008 · Cited by 373
Wavelet Analysis of Neuroelectric Waveforms: A Conceptual Tutorial
Samar, V. J., Bopardikar, A., Rao, R., & Swartz, K. (1999) · Brain and Language · doi:10.1006/brln.1998.2024 · Cited by 355
Self-citationSpatiotemporal symmetry and multifractal structure of head movements during dyadic conversation
Ashenfelter, K. T., Boker, S. M., Waddell, J. R., & Vitanov, N. (2009) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/a0015017 · Cited by 101
(2005) · doi:10.1061/(asce)1084-0702(2005)10:2(116
Metadata
- Authors
- Rao, R. M.
- Venue
- Journal of Electronic Imaging
- Publisher
- SPIE-Intl Soc Optical Eng
- Published
- 1999-10-01
- Volume
- 8
- Issue
- 4
- Pages
- 478
- ISSN
- 1017-9909 (ISSN-L)
- OpenAlex
- W2020014449
- Cited by
- 646
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Wavelet Transforms: Introduction to Theory and Applications. https://app.cochat.ai/papers/10.1117/1.482718
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- Rao, R. M. (1999). Wavelet Transforms: Introduction to Theory and Applications. Journal of Electronic Imaging. https://doi.org/10.1117/1.482718
Data sources
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.