Removing noise in biomedical signal recordings by singular value decomposition
Abstract: Noise reduction or denoising is the process of removing noise from a signal. If some signal properties are known linear filtering is often useful. Fourier, wavelet and similar transform approaches remove unwanted signal components in the codomain. For this, predefined eigen-functions, e.g. wavelets, are used. Here we use singular value decomposition in order to compute a signal driven re-presentation (eigendecompositon). By removing unwanted components of the representation the signal can be denoised. We introduce the new method, apply it to signals and discuss its properties.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Removing noise in biomedical signal recordings by singular value decomposition ; volume:3 ; number:2 ; year:2017 ; pages:253-256 ; extent:4
Current directions in biomedical engineering ; 3, Heft 2 (2017), 253-256 (gesamt 4)
- Creator
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Schanze, Thomas
- DOI
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10.1515/cdbme-2017-0052
- URN
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urn:nbn:de:101:1-2023030713212469229344
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
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Associated
- Schanze, Thomas
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