Removing noise in biomedical signal recordings by singular value decomposition

Current Directions in Biomedical Engineering

Schanze Thomas¹ 

[1] Technische Hoch-schule Mittelhessen, Dept. Life Science Engineering, Wiesenstr. 14, D-35390 Gießen, Germany;

关键词: Signal;    Signal processing;    Noise Reduction;    Transformation;    Computation;    Eigendecomposition;   

DOI  :  10.1515/cdbme-2017-0052

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown