Super resolution convolutional neural network for feature extraction in spectroscopic data
Two dimensional (2D) peak finding is a common practice in data analysis for physics experiments, which is typically achieved by computing the local derivatives. However, this method is inherently unstable when the local landscape is complicated, or the signal-to-noise ratio of the data is low. In th...
| Main Authors: | , , , , |
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| 格式: | Journal article |
| 出版: |
AIP Publishing
2020
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