Data Restoration by Linear Estimation of the Principal Components From Lossy Data
In this article, we propose a method based on principal component analysis (PCA) to restore data after the occurrence of data loss due to sensor defects or environmental factors. In the L2-PCA feature space, the feature vector, which consists of principal components of the data, converges to a point...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9199857/ |