SVD-aided non-orthogonal decomposition (SANOD) method to exploit prior knowledge of spectral components in the analysis of time-resolved data

SVD-aided non-orthogonal decomposition (SANOD) method to exploit prior knowledge of spectral components in the analysis of time-resolved data

Analysis of time-resolved data typically involves discriminating noise against the signal and extracting time-independent components and their time-dependent contributions. Singular value decomposition (SVD) serves this purpose well, but the extracted time-independent components are not necessarily...

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Bibliographic Details
Main Authors: H. Ki, Y. Lee, E. H. Choi, S. Lee, H. Ihee
Format: Article
Language:English
Published: AIP Publishing LLC and ACA 2019-03-01
Series:Structural Dynamics
Online Access:http://dx.doi.org/10.1063/1.5085864

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