Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification
Near-infrared spectroscopy (NIRS) has been widely used in many fields due to its advantages with fast analysis speed, non-destructive testing, and on-site detection. However, NIRS has some shortcomings, such as low signal-to-noise ratio, weak absorption intensity, and overlapping peaks. The research...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8768292/ |