"Wavelet Analysis" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
| Descriptor ID |
D058067
|
| MeSH Number(s) |
E05.959 G17.915 L01.224.800.750
|
| Concept/Terms |
Wavelet Analysis- Wavelet Analysis
- Analyses, Wavelet
- Analysis, Wavelet
- Wavelet Analyses
- Wavelet Signal Processing
- Processing, Wavelet Signal
- Processings, Wavelet Signal
- Signal Processing, Wavelet
- Signal Processings, Wavelet
- Wavelet Signal Processings
- Wavelet Transform
- Transform, Wavelet
- Transforms, Wavelet
- Wavelet Transforms
- Spatiotemporal Wavelet Analysis
- Analyses, Spatiotemporal Wavelet
- Analysis, Spatiotemporal Wavelet
- Spatiotemporal Wavelet Analyses
- Wavelet Analyses, Spatiotemporal
- Wavelet Analysis, Spatiotemporal
|
Below are MeSH descriptors whose meaning is more general than "Wavelet Analysis".
Below are MeSH descriptors whose meaning is more specific than "Wavelet Analysis".
This graph shows the total number of publications written about "Wavelet Analysis" by people in this website by year, and whether "Wavelet Analysis" was a major or minor topic of these publications.
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| Year | Major Topic | Minor Topic | Total |
|---|
| 2012 | 1 | 0 | 1 |
| 2013 | 1 | 0 | 1 |
| 2014 | 0 | 1 | 1 |
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Below are the most recent publications written about "Wavelet Analysis" by people in Profiles.
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Analysis of deep brain stimulation electrode characteristics for neural recording. J Neural Eng. 2014 Aug; 11(4):046010.
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A study of morphology-based wavelet features and multiple-wavelet strategy for EEG signal classification: results and selected statistical analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2013; 2013:5998-6002.
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Morphology-based wavelet features and multiple mother wavelet strategy for spike classification in EEG signals. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:3959-62.