Robust and Efficient Harmonics Denoising in Large Dataset Based on Random SVD and Soft Thresholding
The Hankel matrix of harmonic signals has the important low-rank property, based on which the principal components (or the eigenvectors) extracted from the matrix by singular value decomposition (SVD) could be applied for harmonic signal denoising. However, SVD is time-consuming, and may even fail t...
| Автори: | , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
IEEE
2019-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/8733082/ |