Noise subspaces subtraction in SVD based on the difference of variance values
As a matrix decomposition method, Singular Value Decomposition (SVD) is introduced to signal processing such as denoising. Firstly, a polluted signal is constructed in Hankel matrix form, and then through SVD the Hankel matrix is decomposed to two unitary matrices and a diagonal matrix in which a se...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
JVE International
2016-11-01
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Series: | Journal of Vibroengineering |
Subjects: | |
Online Access: | https://www.jvejournals.com/article/16745 |