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A matched dual-tree wavelet denoising for tri-axial swallowing vibrations

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Year: 2016
Type: article
Source: Biomedical Signal Processing and Control
DOI: 10.1016/j.bspc.2016.01.012
Authors: Joshua M. Dudik, James L. Coyle, Amro El-Jaroudi, Mingui Sun, Ervin Sejdić
Institution: University of Pittsburgh
Language: English

Topic: Image and Signal Denoising Methods
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institute on Aging, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency, Pittsburgh Older Americans Independence Center
OpenAlex ID: W2295749519
FWCI: 1.131
Cites: 40
Cited by: 17
Related to: 10
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