https://scholars.lib.ntu.edu.tw/handle/123456789/580661
標題: | Baseline correction and denoising of raman spectra by deep residual CNN | 作者: | Kung B.-H Huang C.-C Hu P.-Y Lo S.-Y Lee C.-C Yao C.-Y CHIEH-HSIUNG KUAN |
關鍵字: | Baseline correction; CNN models; De-noising; Feature transformations; Spectrum analysis | 公開日期: | 2020 | 卷: | Part F181-CLEO-AT 2020 | 來源出版物: | Optics InfoBase Conference Papers | 摘要: | A practical deep residual CNN model for the improvement of Raman spectral analysis is proposed in this work. Through the feature transformation in the deep residual blocks, it successfully denoises and precisely corrects the baseline. ? OSA 2020 ? 2020 The Author(s). |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095134575&doi=10.1364%2fCLEO_AT.2020.JTu2G.28&partnerID=40&md5=532bfb7896e726a8be23279a07a9e4d5 https://scholars.lib.ntu.edu.tw/handle/123456789/580661 |
DOI: | 10.1364/CLEO_AT.2020.JTu2G.28 |
顯示於: | 電機工程學系 |
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